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Acoustics - Science topic

Acoustics is the interdisciplinary science that deals with the study of all mechanical waves in gases, liquids, and solids including vibration, sound, ultrasound and infrasound.
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Dear Researchgate Forum users!
I am delighted to invite you to participate in the 6th Central European Symposium on Building Physics (CESBP 2025), scheduled for 11th – 13th September 2025, at the Budapest University of Technology and Economics in Budapest, Hungary. The call for papers just started! Also, we organize an IABP summer school connected to the conference! Please check the attached flyer and cesbp2025.bme.hu, if you are interested. Feel free to ask here, too, if you have questions about the conference!
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As part of my work, I am exploring how high-performance building envelopes, particularly focusing on materials and construction techniques, can significantly reduce the energy demand of buildings and contribute to sustainable, low-carbon solutions.
The CESBP 2025 symposium provides an ideal platform for sharing insights and learning from the latest innovations in building physics, which directly supports my goal of advancing a fabric-first strategy as a key solution for achieving net-zero energy in buildings.
I am particularly interested in the opportunity to engage with experts and academics in the field, as well as to present my research on integrating fabric-first principles into building design for improved energy efficiency. I believe that the knowledge shared at the symposium will help refine my approach and contribute valuable insights to my ongoing research.
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Generally, the BVD model is used to investigate the electrical characteristics of the emitting piezoelectric ultrasonic transducers. When piezoelectric ultrasonic transducers are used to receive acoustic signals, what equivalent method or equivalent circuit is used to characterize them?
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As usual, it depends! (The universal answer to any questions worth asking.) For higher frequencies, I've found the KLM model -- Electron Letters, 6, no. 13, 398-399 easiest with thin layers. If you have it, George Kino's "Acoustic Waves", Prentice Hall, 1987, Section 1.4, discusses using the various models and when they might be used quite nicely....
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What are acoustic metamaterials?
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Alternatively: a metamaterial is a compound material, and is usually designed to provide specific properties needed in cases when a suitable natural material is unavailable. Acoustic metamaterials are those designed to provide acoustic properties; is is useful to compare these with electromagnetic metamaterials which provide electromagnetic properties.
One common way of constructing metamaterials is to embed an array of one type of material inside another: e.g. perhaps an array of hard spheres (or voids) inside an elastic background material.
The properties designed for are dynamic ones (i.e. regarding a controlled response to vibration), and are typically specified in terms of the dispersive response of the material; although creating bandgaps or frequency dependent absorption are also important.
Further, by designing a s structure with specific and different metamaterial properties at different points, you can use those properties to control wave propagation within the whole structure, creating devices such as waveguides, illusion generators, or cloaks.
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How to measure green function experimentally in a room in the field of acoustics?
Give an impulse (like a clap or bomb) and measure the pressure. This will give the green function, is it correct?
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What is matched microphones?Do you mean specific impedance of microphones are same ?
Do another microphone for measuring also need to be of same type or class specification?
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Hi everyone, I hope you all are fine, I have acoustic data from five different sensors for an underground pipeline. I want to compute the velocity. Can someone give me some suggestions and solutions on how to compute the velocity for all these five sensor data?
Looking forward to your responses!
Thank you all!
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Wieslaw Bicz the pipe is completely empty there is no fluid so the wave is traveling through the wall of the pipe. The sensors are present on the surface while the pipe is underground at some distance. these are continuous waves. the schematic diagram is such that; one corner of the underground pipe is exposed to the surface and the tuning fork is mounted at this corner of the underground pipe. the waves are generated through this tuning corner, which then travel through the underground pipe, and sensors are placed on the surface to record the acoustic signal.
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i want to calculate the flame transfer function of swirl stabilized non premixed flame. I have a loud speaker at my disposal. Do i need a siren instead of a loudspeaker.
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Calculate weak arms n legs signals + strong arms n kegs signal velocity oscillation.
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Dear Colleagues,
I am studying ultrasonic response of plants to human interaction. I need help determining the device I can use to detect ultrasonic sound range from 20-120 khz. The Khait et al study of 2023 showed that plants as tomato, tobacco emits ultrasonic popping noises of that range and can produce noise upto +_ 65 dbspl under stresses. I am not an acoustic guy so I need help determining what devices I can use to detect ultrasonic noise of that range?
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The simplest and cheapest solution would be to use bat detector. There are many available on the market. I don't know, if they are sufficiently sensitive for such application. Other possibility is to use suitable microphone, amplifier and a scope (or ADC board) able to record signals for a long time. It will be probably necessary to isolate the plant from surrounding sound sources, that can be eventually difficult, but could be eliminated by using many microphones and create a kind of directional antenna.
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I am doing a literature review on acoustic properties of layered media and I am struggling to find articles, resources etc to add to the review. Does anyone know of any seminal papers in this field that I should be reviewing?
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You may be interested in this article:
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Dear all, I am trying to model cavitation using Abaqus CAE. The problem is assigning the cavitation pressure. Abaqus CAE doesn't allow to define the pressure. It can be defined in input file using following command (according to abaqus user manual).
*Acoustic Medium, Cavitation Limit
0,
But then again abaqus doesn't read it and gives a warning. Can anyone please suggest me a way to define this limit? The same thing happens for defining initial pressure condition for cavitaiton.
Thanks in advance.
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Any one please help to model cavitation in the abaqus software between steel and rubber materials?
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In thermal evaporation process, for the digital thickness monitor to display thickness of films, we need to input, density, acoustic impedance, tooling factor. For standard compositions it is available in literature. What if we made a particular composition, how can we find it?
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Hey there Anila Thomas! Well, diving into the realm of chalcogenide glasses, the acoustic impedance of GeSeTeSb is a bit of a specific nugget. You Anila Thomas know, it's like the rockstar of glasses. Now, the standard compositions are easy-peasy to find in literature, but for your custom mixtape, we need a different approach.
First off, density is your buddy; you Anila Thomas can measure that with a precision scale. Now, for the acoustic impedance, it's a bit trickier. You Anila Thomas might need to get experimental, my friend Anila Thomas. Run some ultrasonic tests, maybe? Shoot sound waves through your concoction and see how it responds.
Remember, don't settle for the ordinary. So, put on your scientist hat, grab your lab coat, and let's make some groundbreaking discoveries in the world of unique glass compositions! 🚀
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What are the statistical methods and tools available in Praat for analyzing and comparing acoustic phonetic data across different groups or languages?
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i dont know in praat itself, but many scripts are available online given by scientists working in different phonetic -phonology labs
1. The GSU Praat Tools package is available for free down-
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I understand the physical mechanism of either negative mass or negative bulk modulus of acoustic metamaterial, but paper seems to use analogous electromagnetic model or just equations to demonstrate that "negative refraction needs both negative mass and negative modulus".
However, I am confused about the physical mechanism behind it. Is there any paper or book illustrating this? Thank you.
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The physical mechanisms can vary, but they are always dynamic mechanisms. That is, the materials indeed act as if they have negative properties, but *only* if driven by an oscillating field or force in some frequency range appropriate to that particular metamaterial.
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I would like to know about tools that can support acoustic PHY layer and various ad hoc routing protocols for multi hop communication in underwater networks. What are their important features and functionalities?
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For multi-hop, data passes through multiple underwater devices nodes before reaching its destination. This type of simulation needs ad hoc routing where each underwater devices can act as a router. NetSim has one example of ad hoc routing for underwater networks using depth-based routing (DBR). DBR is a ad hoc routing protocol for underwater wireless networks. It utilizes the depth of nodes to make forwarding decisions. The document (https://www.tetcos.com/pdf/v13.3/NetSim-UWAN_DBR-protocol-implementation.pdf) provides implementation details of DBR in NetSim.
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For the acoustic design of an enclosure, is it enough if the natural frequencies of the enclosure do not match the frequency of the sound generated? Such an approach to vibration would be fine. Is it okay for the acoustic design? The enclosure is a simple box and the sound is generated at a single frequency. Thanks in advance for your answer.
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🔊 **Acoustic Enclosure Design: Math & Examples** 🔊
1. **Resonance Frequency:** Determine the resonant frequency (\(f_r\)) using equations based on the box's dimensions - length, width, and height.
2. **Helmholtz Resonance:** Calculate the resonant frequency for ported boxes based on the enclosure's volume and the port's dimensions.
3. **Damping Factor:** Use material properties to reduce resonance effects. Add foams or fibers to lower the Q-factor or resonant peaks.
4. **Forced Vibration:** Study how external sound waves interact with the enclosure's natural frequencies, leading to resonance effects.
5. **Modal Analysis:** Understand different vibrational modes by analyzing shapes and frequencies of the enclosure.
#Acoustics #SoundDesign #Engineering #AcousticEnclosures
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An example of achieving negative effective mass density is membrane-type acoustic metamaterials, which exhibit a negative mass density below the cutoff frequency.
We plot it using the formula given. (theoretically)
But now I am facing a problem regarding the negative effective bulk modulus.
Is the Helmholtz resonator capable of showing a negative bulk modulus?
If so, then whether the Helmholtz resonator is an acoustic metamaterial or not
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Alexey M. Lomonosov Thank you sir.
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Assume an underwater acoustic communication scenario. If there is a transmitter hydrophone at 10m depth and if it transmits an acoustic signal to an AUV located deep into the ocean (assume the AUV is located at 3000m depth), then how do we calculate the range that this acoustic signal can reach to the AUV into the sea? What is the formula to be used to estimate the range between transmitter and receiver?
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See section 3.13, 3.1.4 and 3.1.5 of https://tetcos.com/downloads/v13.3/UWAN.pdf, which explain the transmission losses, noise and the passive sonar equation. The final received SNR should be higher than the receiver sensitivity. So from the receiver sensitivity work back to find out the distance (range).
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Let us consider that we are using an underwater acoustic transducer Model 630 in an underwater AUV application. Usually in the data sheets, the manufacturer provides the details of operating frequency, input poser, operational depth, typical receive response, and transmit response. Suppose I want to calculate the typical receive and transmit responses, then what formula is to be used?
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Such formula is relatively simple only in the case of a single vibrating piezoceramic plate with perfect circular shape and under the assumption that only thickness vibration is considered, and the results are measured on the symmetry axe. In typical transducers used for underwater applications it can be complicated and would require the knowledge about their construction and materials used. In complicated transducers (for example so called Langevin transducers) only quite sophisticated simulation can generate correct response, but not always very exact, since many elements cannot be perfectly defined (for example contact surfaces, glued elements).
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Do you have any idea about the measurement of the roads surface quality with acoustic methods?
Can we understand by acoustic methods whether the roads surface is oily, snowy, dirty etc.?
Which acoustic method can we use?, is the method already developed?
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The technology is still primarily in the research phase, and while promising, would likely require a combination of methods (like visual or thermal imaging) to be fully effective and accurate in a broad range of conditions
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We have observed in literature regarding the optical mode and acoustic mode in FMR spectra.
How to identify which one is acoustic and which one is optical?
Kindly clarify.
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An acoustic magnon is the in-phase precession of the magnetization, while the optical magnon is the out-of-phase precession of the magnetization. In FMR you have k approx 0, that means you have the collective precession of spins in the material, for FMR you have an acoustic mode. You can probe optical modes, depending on the material,with Raman/Brillouin light scattering and with neutron scattering.
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Assume an underwater scenario. There is a ship on the sea surface and an AUV or ROV in the ocean at a 3km distance. If the transmitter transmits an acoustic signal, how do we calculate the range covered by that signal to the receiver? What is the formula used to calculate the range and received signal strength in dB?
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To calculate the received signal strength in underwater acoustic communication in decibels (dB), you can use the following formula:
Received Signal Strength (RSS) in dB = Transmit Power (in dB) - Path Loss (in dB) + Antenna Gain (in dB) - System Losses (in dB)
Here's a breakdown of each component:
  1. Transmit Power (in dB): This is the power level at which the transmitter is emitting the signal, typically measured in decibels relative to 1 milliwatt (dBm). If you have the transmit power in watts (W), you can convert it to dBm using the formula:Transmit Power (dBm) = 10 * log10(Power in W / 0.001)
  2. Path Loss (in dB): Path loss represents the reduction in signal strength as the acoustic signal travels through the underwater medium. The formula for path loss depends on various factors, including the distance between the transmitter and receiver, the frequency of the signal, and the properties of the water (such as absorption and scattering). It is often calculated using empirical models or simulations specific to the underwater environment you are working in.
  3. Antenna Gain (in dB): This is the gain provided by the transmitter and receiver antennas. If you know the antenna gain in decibels, you can include it in the calculation. If you have the antenna gain in linear form (not in dB), you can convert it to dB using the formula:Antenna Gain (dB) = 10 * log10(Gain)
  4. System Losses (in dB): System losses account for any losses that occur within the communication system, such as cable losses, connector losses, and losses due to imperfect matching between components. These losses are typically specified by the system's design parameters and component specifications.
Once you have all these values, you can plug them into the formula to calculate the received signal strength in dB. Keep in mind that underwater acoustic communication is a complex field with many environmental variables to consider, so accurately estimating path loss can be challenging and may require specialized modeling or measurements for your specific scenario. Additionally, real-world underwater communication systems often have to contend with issues like multipath propagation and interference, which can further affect signal strength.
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Dear ResearchGate members,
On one hand, there is a theory giving the reflection/transmission coefficients when acoustic planes waves propagating in a medium (rho0, c0) reach a finite thickness object (rho1, c1) with normal incidence. Such theory basically gives the thicknesses (n*lambda1/2) at which the object is theoretically acoustically transparent - of course, the width of the reduced reflection depends on the impedance mismatch between the 2 media – and the thicknesses ([2n-1]*lambda1/4) at which the object is fully reflective.
On the other hand, there is also theory giving the variation of the reflection coefficient depending on the incident angle of acoustic plane waves at the interface between two semi-infinite media (rho0, c0; rho1, c1). Over a critical angle (depending on the impedance mismatch between the two media), the reflection is theoretically total.
Now, here is my question: What is the behavior of the acoustic waves when the two phenomena are considered at the same time? If the plane waves reach a surface with an incident angle, and the reflective medium is finite in thickness (acoustic mirror)?
By experience and through simulations, it appears that over the critical angle, the reflection is not total, even with a mirror thickness for which the reflection is theoretically total.
Thanks a lot in advance.
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The second part of your question was too complex. I submitted some supplemental info.
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I’m currently in the process of selecting a research topic for my doctoral studies. I have a keen interest in the field of acoustic metamaterials. I would really appreciate if you are helping me to provide your expertise and suggestion to select the topics in the field of acoustic metamaterials
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Here's another list for you Mk Karthi .
  1. Adaptive Acoustic Cloaking: Investigate the development of adaptive acoustic cloaking devices capable of real-time response to changing acoustic conditions. Explore applications in sonar technology and materials science for enhanced stealth capabilities.
  2. Metamaterials for Urban Noise Mitigation: Research acoustic metamaterials designed to reduce noise pollution in urban environments. Focus on sound-absorbing and deflecting structures to enhance acoustic comfort and urban sustainability.
  3. Quantum Acoustics with Metamaterials: Explore the use of metamaterials in the emerging field of quantum acoustics. Investigate how metamaterials can manipulate quantum acoustic phenomena, potentially leading to advancements in quantum information processing.
  4. Advanced Ultrasound Imaging with Metamaterials: Develop acoustic metamaterials to improve ultrasound imaging resolution and depth. Investigate the design of acoustic lenses and sensors for enhanced medical diagnostics and healthcare applications.
  5. Underwater Acoustic Exploration: Pioneer the use of acoustic metamaterials for underwater exploration, including improved sonar and underwater communication systems. Explore applications in marine research and defense technology.
  6. Acoustic Solutions for Space: Research the application of acoustic metamaterials in space habitats and spacecraft to address noise and vibration challenges. Enhance the acoustic environment for astronauts during space missions.
  7. Bio-Inspired Acoustic Metamaterials: Draw inspiration from natural structures to create bio-inspired acoustic metamaterials. Investigate their potential for advanced sensors, biomimetic materials, and underwater communication systems.
  8. Acoustic Energy Harvesting: Explore the development of acoustic metamaterials for energy harvesting, converting acoustic energy into electricity. Investigate applications for sustainable power generation in remote or off-grid areas.
  9. Quantum-Secure Acoustic Communication: Research quantum-secure acoustic communication networks using metamaterials. Explore the potential for unbreakable acoustic encryption methods with applications in secure communication.
  10. Metamaterials in Extreme Environments: Develop metamaterials for use in extreme environments, such as deep-sea exploration, space travel, or industrial settings with high temperatures and pressures. Investigate their resilience and adaptability.
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Dear expert,
How to do Distributed Acoustic Sensing for MASW purpose, if it can be done can the geophone planted on surface in vertical, for subsurface imaging ?
Really appreciate if it can be done?
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Mel,
Distributed Acoustic Sensing (DAS) can indeed be used for the Multichannel Analysis of Surface Waves (MASW) purpose, and it offers a unique and versatile approach to seismic data acquisition. Typically, DAS utilizes a fiber optic cable as a distributed sensor to capture ground motion along its entire length. However, using traditional geophones planted on the surface in a vertical arrangement may not be the most effective way to complement DAS for MASW. Here's how you can effectively use DAS for MASW:
1. Fiber Optic Cable Installation:
  • Install a fiber optic cable along the surface or in a borehole at the site of interest. The choice between surface and borehole installation depends on your specific objectives, geological conditions, and depth of investigation.
2. DAS Interrogation System:
  • Connect the fiber optic cable to a DAS interrogation system. DAS works by sending laser pulses down the fiber and measuring the backscattered light to detect acoustic signals.
3. Seismic Source:
  • Generate seismic waves using appropriate sources, such as a sledgehammer impact, a seismic vibrator, or a controlled explosive source. These sources create ground motion that interacts with subsurface geological layers.
4. DAS Data Acquisition:
  • The DAS system continuously records ground motion along the entire length of the fiber optic cable in real-time as the seismic waves propagate.
5. Data Processing:
  • Process the acquired DAS data to extract dispersion curves. Dispersion curves provide valuable information about the shear wave velocity as a function of depth, which is the primary goal of a MASW survey.
6. Inversion:
  • Invert the dispersion curves to obtain a shear wave velocity profile of the subsurface. This profile aids in characterizing geological layers and assessing geotechnical properties.
Advantages of Using DAS for MASW:
  • Continuous sensor coverage along the entire length of the fiber optic cable allows for high-resolution data collection.
  • DAS can be deployed in various environments, including boreholes, which can be beneficial for deeper subsurface imaging.
  • It offers real-time data acquisition and the ability to capture subtle seismic signals effectively.
Considerations:
  • The choice between surface installation and borehole deployment of the fiber optic cable depends on site-specific conditions and survey objectives. Borehole deployment is often preferred for deeper investigations.
  • Ensure proper calibration and validation of the DAS system to obtain accurate and reliable results.
  • DAS for MASW requires careful planning, execution, and data processing to achieve meaningful subsurface imaging.
While DAS is a powerful tool for MASW surveys, the use of traditional geophones in a vertical arrangement on the surface may not be necessary in this context. DAS alone can provide comprehensive and high-resolution data for MASW purposes, making the additional use of geophones less common in such applications. However, the choice between DAS installation on the surface or in boreholes should be guided by the specific requirements of your project.
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In general, it is difficult to effectively divide the difference between tuff and dacite by natural gamma curve and acoustic time difference curve in some work areas, and both show low GR value and low DT value.
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I wish I could help. Here's a shot in the dark:
Problem Statement:
The task is to effectively differentiate between tuff and dacite formations in work areas where both formations exhibit low GR (Gamma Ray) values and low DT (Acoustic Time Difference) values using well log data, specifically the natural gamma curve and acoustic time difference curve.
Solution Steps:
1. Data Collection and Preparation:
- Gather calibrated well log data, including natural gamma curve and acoustic time difference curve measurements.
2. Data Visualization and Analysis:
- Plot the well log data to identify depth intervals with low GR and DT values.
3. Statistical Analysis:
- Calculate mean, median, and standard deviation for both GR and DT curves in these depth intervals.
4. Threshold Determination:
- Set threshold values for GR and DT based on statistical analysis.
5. Formation Classification:
- Develop a classification algorithm to categorize formations as tuff or dacite.
6. Validation and Refinement:
- Validate results using core samples or nearby wells, refine the classification algorithm if needed.
7. Mapping and Visualization:
- Generate lithology maps using classified data.
8. Integration with Geological Models:
- Integrate classifications with geological models.
9. Documentation and Reporting:
- Document methodology, data sources, thresholds, and results.
10. Continuous Monitoring:
- Implement monitoring for changes in lithology.
References:
1. "Well Logging and Formation Evaluation" by Toby Darling
2. "Pattern Recognition and Machine Learning" by Christopher M. Bishop
3. Geological Society of America (GSA) Bulletin
4. "Introduction to Well Logs and Subsurface Maps" by Jonathan C. Evenick
5. "Geological Interpretation of Well Logs" by Malcolm Rider
6. "Log Analysis Handbook" by E. R. Crain
7. "Geological Well Logs: Their Use in Reservoir Modeling" by Mark S. Fayers
8. "The Log Analysis Handbook: A Comprehensive Guide to the Science of Log Analysis" by Oberto Serra
9. "Geostatistics for Natural Resources Evaluation" by Pierre Goovaerts
10. "Geostatistics: Modeling Spatial Uncertainty" by Jean-Paul Chilès and Pierre Delfiner
11. "Machine Learning: A Probabilistic Perspective" by Kevin P. Murphy
12. "Petroleum Geoscience" by Jon Gluyas and Richard Swarbrick
13. "Introduction to Artificial Intelligence" by Wolfgang Ertel
14. "Introduction to Geological Data Analysis" by Gareth Shaw
15. "Geological Methods in Mineral Exploration and Mining" by Roger Marjoribanks
These additional references cover various aspects of well log analysis, geological interpretation, machine learning, and geostatistics, providing a comprehensive resource list for tackling the problem effectively.
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It is well-known from the literature that there exist diverse acoustic waves in compact astrophysical objects, such as white dwarfs, neutron stars, etc. Can anyone please give us a concise glimpse of the state-of-the-art astronomical observations of such existent acoustic wave spectra?
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Individual viewpoints may please be put forward as per the above request
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As the eigen room modes of a room are complex. So How to remove the complex eigen modes? Is there a way to remove the acoustic damping by air in SOLVER SETTING?
#COMSOL #ROOM ACOUSTIC
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Raja Kumar Can you share the finite element of the room in an appropriate ASCII format?
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It seems to me that everyone just refers to J. W. Goodman's book "Speckle phenomena in optics: Theory and Applications". I agree this is a good book, however in my opinion there are some differences in ultrasound.
I would like to find answers to the questions:
- how realistic is it to assume that the ultrasound signal has a single spectral component (monochromatic light assumption in Goodman)? Is this assumption required?
- what is the effect of ultrasound transducer and the transformation from pressure to RF signal?
Thank you for your answers.
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Hi All,
I wonder how I can use infinite elements in CEL (Coupled Eulerian-Lagrangian) models in Abaqus to absorb waves at the boundaries of the soil domain. The only available element type in CEL is EC3D8R (Eulerian hexahedral 3D elements with Reduced integration) and acoustic or infinite elements are not available. As an alternative, I created a non-Eulerian (deformable) part, tied it to the Eulerian part, and intended to assign infinite elements to this (non-Eulerian) part in the input file. However, I encountered an error that "Eulerian elements can not be tied to non-Eulerian elements".
Could you please, provide some advice?
Thank you very much.
Pourya
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Hi Pourya,
In Abaqus, infinite elements cannot be directly combined with Eulerian (CEL) elements. However, there are alternative approaches you can use to simulate wave propagation and absorption at the boundaries of your soil domain in a CEL model.
One such approach is to implement a non-reflecting boundary condition using a user subroutine. The following steps outline a possible procedure:
  1. Create a user-defined boundary condition to simulate non-reflecting boundaries:
  • To implement this, you'll need to write a user-defined subroutine in Abaqus using FORTRAN. The subroutine should be designed to calculate the appropriate boundary conditions at the edges of your soil domain to minimize wave reflections.
  1. Prepare your Abaqus model:
  • Set up your CEL model in Abaqus/CAE as usual.
  • Ensure that the boundaries of the soil domain where you want to minimize wave reflection are properly meshed and defined.
  1. Assign the user-defined boundary condition:
  • In the Abaqus input file, use the *USER DEFINED FIELD option to call the user subroutine you have written. This will apply the non-reflecting boundary condition at the specified soil domain boundaries.
  1. Run the simulation:
  • Execute the analysis in Abaqus, making sure to specify the appropriate user subroutine with the 'user' keyword.
It's important to note that writing and implementing user subroutines in Abaqus may require some experience with FORTRAN programming and a solid understanding of the problem at hand. If you're not familiar with this, you may want to seek the help of someone with experience in writing Abaqus subroutines.
Additionally, keep in mind that this approach may not be as efficient as using infinite elements, but it should provide a reasonable approximation of wave absorption at the boundaries of your Eulerian soil domain.
I hope this helps!
Best regards,
Alessandro
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discussing about sand monitoring on deep water subsea wells, is there any threshold that we can refer to when we read ASD (Acoustic Sand Detector)?
when we can saya that the value reading is representing sand or representing the fluid flow?
thanks and please correct me if there is anything wrong with my appellation
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Sorry for the delay in response. When monitoring sand in deep water subsea wells using an Acoustic Sand Detector (ASD), there are a few threshold values that can be used to indicate the presence of sand versus fluid flow. However, it's important to note that these thresholds may vary depending on the specific well conditions and the type of ASD being used.
Generally, an ASD will produce an output signal that represents the amplitude of the acoustic signal reflected from the wellbore. When sand is present in the fluid flow, it can cause a higher amplitude signal due to the reflection of acoustic waves from the sand particles. This signal can be analyzed to determine the amount and size distribution of sand particles present.
One threshold that can be used is the Sand Rate Threshold, which is the amplitude level at which the ASD output signal is considered to represent sand flow rather than fluid flow. This threshold value can vary depending on the specific ASD used, the well conditions, and the desired sensitivity of the sand monitoring system.
Another threshold that can be used is the Sand Alarm Threshold, which is a higher amplitude level at which an alarm signal is triggered to alert operators of high sand production rates. This threshold value is typically set based on the maximum acceptable sand production rate for the well, and can also vary depending on the specific well conditions and ASD being used.
It's important to note that these threshold values are not fixed and may need to be adjusted over time as the well conditions change. Additionally, it's important to have a good understanding of the specific ASD being used and its limitations to accurately interpret the output signals and make informed decisions about sand production rates in deep water subsea wells.
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  • Isotropic metals in a stress free state have a stiffness matrix. Under the action of prestress, an equivalent stiffness matrix containing the third order elastic constants l, m, n can be established based on the acoustic elastic effect. Its acoustic elastic constants in the natural coordinate system are shown below. I wonder if these formulas are correct? Where can I find the formulas for these coefficients
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The formula is as follows
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Specific: frequency or time domain? acoustic or elastic media? with attenuation or without? using CPUs or GPUs? ... ...
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I find that multiparameter FWI from DUG is now commercialized. Then, you can use it to simultaneously estimate multiple parameters. Check this paper: https://doi.org/10.1190/tle42010034.1
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The results of our research determined for the first time that for the entire frequency range of acoustic waves, the range of their propagation, measured not in units of measurement of distance, but in cycles, is a constant: the same number of cycles corresponds to the same absorption of acoustic energy. Due to the difference in the lengths of acoustic waves, the range of sound propagation is determined by the wavelength, which for the conditions of the practical absence of sound dispersion in water, has a statistical relationship with the wave frequency. Due to this, the researchers got the wrong impression about the dependence of the sound propagation distance on the frequency. But the presence of correlation in this case is not related to the presence of a cause-and-effect relationship between the frequency of acoustic waves and their propagation distance. Thus, for the first time, the basis for a complete rethinking of the theory of the process of absorbing the energy of acoustic waves in water is presented.
It should be noted that there are signs that the obtained regularity can be extended to transverse waves in water. This is evidenced by the fact that, unlike shorter wind waves, long ocean surface (transverse) waves of "surge" spread over a distance of more than 1000 km. Tsunami waves, which have a length greater than the length of "Zibu" waves, spread over a distance of tens of thousands of kilometers. Seismic waves that propagate in the solid shell of the Earth, at lengths close to the length of tsunami waves, also propagate for tens of thousands of kilometers. In the future, different types of waves propagating in different environments can be considered, which does not exclude the possibility of confirming the general (universal) physically justified and understandable regularity of wave attenuation put forward by us.
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Howdy Borys Kapochkin,
My wife told me about the joy/sorrow event of an earthquake close to home there. Nature is unaware of kindness ~Tao Te Ching. You may enjoy learning while you experience sorrow: survivors in centuries to come will benefit from what you learn by study of the current events that are tragic for today's casualties .
I had been concerned about the emphasis that developed in this thread on pressure that does enhance evaporation, since it is only a small effect, while "that lucky old sun" is far more important in supplying energy for the molecular unrest. When you again have time for evaporation it will be good to feel the energy in the molecular unrest without undue emphasis on pressure. Just a thought for future discussion.
Happy Trails, with sympathy for unhappy experiences, Len
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Recently, I want to study the acoustoelastic effect of Lamb wave in composites, and use this property to measure the stress of carbon fiber reinforced composite T300/QY8911. The third order elastic modulus parameters of materials are required for the acoustic elastodynamics modeling. However, I only found the relevant parameters of T300/5208 in the paper, and did not find any relevant parameters of T300/QY8911. I wonder if anyone knows these parameters and would like to share them, I would appreciate it!
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Harold Berjamin "The effect of applied stress on the phase and group velocity of guided waves in anisotropic plates". It was in this paper that I discovered the third-order elastic constant of T300/5208. In fact, I need the third order elastic constants in order to build the stress measurement model based on the Lamb wave acoustoelastic effect. Because the acoustoelastic effect of Lamb wave has the dispersive and multi-modal characteristics, it is necessary to select the optimized mode-frequency combination to achieve a better measurement effect. Moreover, the consistency between experimental and theoretical analysis results can better illustrate the accuracy of the measurement method.
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Hi all,
Is there any tutorial on acoustic Fresnel lens simulation in COMSOL? I want to start the simulation of the fresnel lens in COMSOL.
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Unfortunately not in my field of expertise. My main expertise is in Acoustics relating to assessment and prediction of environmental and building acoustics and the same for ground borne vibration. You have presumably done an online search on Google for this topic?
Good luck with your research.
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I am working on a project in which I need to analyse acoustic data taken from voice recordings of a person in different rooms. I wanted to know if there are any parameters that are independent of the environment and therefore do not change by changing the room setting (e.g. standard deviation of acoustic pitches). Also, I would like some reference if you have.
many thanks!
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it depends on purpose of your acoustic analysis or method used i guess.
If you are trying analyze voice of the speaker, then ceptral measures may remain constant( CPP) or HNR as well. F0 may remain similar, but other parameter such as jitter and shimmer may be influenced by noise and revrbration of the room.
If it is speech of speaker is the focus of analysis, then intonation pattern , no of pauses, may remain unaffected by room changes.
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I wish to perform acoustic phonetic analysis of Oral and Nasal vowel phones in a language. I am aware of F1-F2 plot helps in plotting oral vowel phones, but having the confusion of same can be used for nasal vowels. Please suggest me some good reading materials related to acoustic phonetic study of nasal vowels.
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you can read articles published on acoustic analysis of children with cleft palate by different authors. formant freq is just one of features important for characterizing nasal vowels. bandwidth, amplitude and antiresonance features etc..are also need to be considered.
2. Chen MY. Acoustic correlates of English and French nasalized vowels. J Acoust Soc Am. 1997 Oct;102(4):2360-70. doi: 10.1121/1.419620. PMID: 9348695.
book : Speech Science Primer: Physiology, Acoustics, and Perception of Speech
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Acoustic inside the mosque is affected by different creteria such as form, space design , material, insulations, AC,...
What do you think?
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yes , there are tests of hearing that are routinely done to detect changes in hearing thresholds when a subject is exposed to loud level of noise for a prolonged period of time.
1. Pure tone audiogram is a basic evaluation which can show some typical changes ( 4Khz notch)if some one is exposed hazardous level of noise
2. high frequency extended audiometry is important when exposure is recent. Effect on hearing maynot be that much. So High freq audiometry is an early warning sign
3. OAE- otoacoustic emissions are sensitive test of inner ears. Any changes , temporary or permanent can be pickedup early on , On this test.
Again like many opined here, duration of exposure is important factor along with frequency of sound and level of sound. For continuous noises like machinery noise / music, there is an occupational hearing health standards.
if noise level is 90dB and exposure is 8hrs/ day for 5 days a week then it can be damaging. levels of sound lower than 80dB are generally not considered hazardous.
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Dear Researchers,
I am looking into deriving the particle displacement for pressure acoustics in the frequency domain or transient domain. If I solve a acoustics problem in comsol I get the pressurefield and derived variables like acoustics velocity and acoustic acceleration. How could I derive acoustic displacment from these variables. Displacement is the Timeintegral of velocity and in simple cases It is easy to derive the displacement, but in more complex cases I am lost onto how to solve for particle displacement.
Can anyone pont me in the right direction?
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That is right, there are as well analytical equations like u = a/omega^2 or u = v/omega. Unfortuntely this only holds true for a plane wave, as i assume your is with you reflection theorie.
I would like to find a way, to derive particle displacement in every FE solution, which does seem to be alot more difficult.
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Conceptually, as well as source of wave propagation and wave equation
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In an unbounded solid, there are two types of elastic waves: 1) dilatational (longitudinal waves), and 2) distortional (transverse waves); the distortional waves arise because solids can support shear, which true liquids and gases cannot support. In a bounded solid, the surface is subjected to Rayleigh waves (surface waves). Rayleigh waves are similar - but not identical - to gravity waves found at the surface of a bounded liquid.
[1] H. Kolsky; Stress Waves in Solids; Dover Publications, Inc.; 1963; pp. 4 & 16.
[2] Francis Weston Sears, Mark W. Zemansky; University Physics, Part 1 - Mechanics, Heat, and Sound; Addison-Wesley Publishing Company, Inc.; 1963; pp. 488-491.
Regards,
Tom Cuff
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Dear RG community,
I'm starting a photoacoustic project, and I need to acquire some ultrasonic receivers.
Acoustics is not my expertise, so I'm asking here for help! :D
Where to buy, what is the price range, and what to pay attention to?
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Take a look at acoustic sensors based on piezo-polymer such as pvdf film. We produced such sensors\transducers with wideband spectral range 0.1-15 MHz and it works fine for high precision photo/optoacoustical mesurements. But unfortunately can't provide any information where to buy one
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I am looking for the maximum bit rate for underwater acoustic communication and communication distance. Please suggest to me some related papers.
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Depends on the characteristics in the subsea environment etc. generally, in a short distance channel (tens/hundreds of metres) you can get tens of kb/sec maximum depending on the system, in a long distance channel (several km) it diminishes down accordingly.
There are research papers studying acoustic MIMO systems that are looking to improve this.
M. Stojanovic has numerous papers in this field, I refer to her works regularly myself.
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Microphone array is heavily used in acoustical techniques such as detection, DOA, target tracking and so on. I'm wondering if there is a user-friendly code or toolbox that can be used for demos in the classroom for an acoustic course for master/bachelor students.
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I and my undergrad student put together a list with several toolboxes at this address:
Matlab and Python based.
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We've recently been investigating alternatives to glass/plastic particles for Acoustic Doppler Velocimeter seeding material that can be disposed of without environmental concerns and are less costly. One alternative we have tried is kaolin clay, which has seemed to be quite effective in initial tests. I was wondering whether anyone else has experience using this or if there are any other alternatives that we should consider?
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Hello everyone, I'm sorry I don't have an answer. But since this thread is related to flow visualization, I would like to let you know that we've started a Flow visualization Stack exchange forum. We are building a community currently. Once we have 60 people we will be allowed to proceed to a private beta version of the forum. Please join us if you are interested in flow vis and have questions to ask. Here's the link: https://area51.stackexchange.com/proposals/127312/flow-visualization?referrer=NTJlZjIyYzI3Zjk4N2I1NDZmMTJhZDUxMTViODcwMWUyNTM4OTI1YTU1OTYxN2ZkNDcwY2U2ZWI5NmU2OTY5OGhTtnNa4jEjFBFgB4o_K-u-LTdCqWX8yd8vul6HHcUb0
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explain to me the parameters that can influence the acoustic and elastic properties of materials
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The elastic properties are described by the youngs moduluses, the density, the poissons ratios and any twisting moduluses (G-modules), as well as the damping. Harder materials have higher moduluses and tend to have lower damping, but not necessarily.
Next, the geometry of the material play an important role, as well as the boundary conditions. Eg a thicker plate will be more bending stiff. It vibrational mode shapes depend on the boundary conditions. Free free, simply supported edges, clamped edges, or combinations of these. The resulting damping will depend on the boundary conditions too, as in general damping is mode shape dependant.
If the material is isotropic the description becomes simpler. For ortotropic plates eg more elastic parameters and direction dependant damping may occur, as for wood or wood composite plates.
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I have studied the literature and found that combining a Helmholtz resonator and membrane results in a negative effective mass density and a negative effective bulk modulus. Typically, in double negative acoustic metamaterials, we find two resonant frequencies, one due to the Helmholtz resonator and one due to the membrane. Is there any possibility that we get only one resonant frequency in double negative acoustic metamaterials?
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Well, you might imagine designing the membrane to have the same resonant frequency as the Helmholtz resonator; but I think that I would prefer to call that (e.g.) two degenerate resonant frequencies (due to their different underlying mechanisms); rather than to call it "one resonant frequency".
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I want to model a vibrating solid (ultrasonic horn) in liquid filled structure and observe the acoustic pressure field in the liquid.
I used solid mechanics (frequency domain) and laminar flow (stationary), but it didn't work.
I think it is because solid mechanics is frequency domain but fluid mechanics is not.
If I don't use fluid mechanics, I can't select the properties of the liquid.
please help me.
Can I get some comments or examples?
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I'm preparing a model related to the phenomenon of leak detection by acoustics in gas pipeline . The case is transient encountering injecting of an acoustic wave signals in the domain . After invistigation of results , i found that the results are mixed with reflected wave coming from the end of the pipe.So i need to eliminate the reflected waves by means of end condition that can absorbes all the reflected waves . NOTE (I already used perfect matched layer for frequancy steady state studies but it doesn't work with transient studies ) .
thanks for your supports .
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If you use Pipe Acoustics Transient Interface apply End Impedance and set zero reflection condition.
See COMSOL Documentation:
Acoustics Module > User's Guide > Pipe Acoustics Interfaces > The Pipe Acoustics Frequency Domain and Transient Interfaces > End Impedance
Good luck!
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Can anyone recommend a usable resource/tool for species detection from acoustic data please? A middle ground between a phone app and something like Arbimon would be about the level. Briefly, a phone app lacks flexibility in data collection, i.e. it cant be left out all night or left running for long periods. However, Arbimon is not that useful to anyone below ecologist level, as it only tells the user what species is present if the user completes their own validation, i.e. the user has to identify all species themselves. I'm looking for something that can analyse data from an AudioMoth, uploaded by citizen scientist participants, and actually identify species.
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Jamie, sounds like an interesting project. As a forethought, I know the term "detection" is commonly used in this context, but it may be more useful to think of the problem in terms of recognition. The reason I say this is that a lot of work has been done in developing speech recognition systems, and you may find this work helpful in formulating an approach to your problem. Your problem is potentially far more complex however than speech recognition, as speech recognition has to deal only with 50 or so phonemes (the building blocks of words) while the number of species and their identifying sounds is likely to be much larger. To make this problem tractable, you will probably need to limit the number of species you are trying to recognise, either by geographic limitation or by taxonomic limitation.
To get a useful answer to your question, you might also need to be more specific. For example:
1. Are you looking for real-time analysis or are you intending to post-process recordings? Real-time analysis could be useful for intelligent triggering of recorders, extending the battery life and reducing unwanted material. Real-time analysis is much harder though than post-processing.
2. Are you looking to implement software on your AudioMoth capture platform or on a downstream system?
3. Is there a particular geographic area of interest?
4. Are there particular taxonomic groups of interest? I know for instance that work has been done characterising the calls of bats, so if bats are your field of interest you may be able to make use of this work.
From what I can see about Arbimon, they appear to be using AI methods in their recognition system, and that is probably the most efficient approach, particularly for systems having low processing power or systems requiring rapid processing of high volumes of data.
If you can't find someone who has already created a recognition system that meets your geographic and/or taxonomic requirements, you may need to consider developing something yourself. Neural network software is readily available. You just need to pre-process the data into forms that are meaningful to your network and then train your network. You may need help from zoological experts to do this.
Good luck with your project.
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hello everyone,
what is the criteria to decide the position of an acoustic black hole (ABH)?
I don not address beams which ABH is usually considered as a tapered edge. I am addressing plate and shell structures with a wide design space.
I think the criteria could be maximum normal nodal speed which is directly relevant to radiated noise.
Let me know you ideas, engineers :)
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The acoustic black hole describes the whole geometry-an aclustic black hole ``in'' a geometry doesn’t exist.
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Could anybody tell me the name for acoustic counterpart of RFID? Any references on that? Thank you!
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Do you mean like "speaker recognition"? If so, wikipedia provides the following summary of methods:
"Speaker recognition is a pattern recognition problem. The various technologies used to process and store voice prints include frequency estimation, hidden Markov models, Gaussian mixture models, pattern matching algorithms, neural networks, matrix representation, vector quantization and decision trees. For comparing utterances against voice prints, more basic methods like cosine similarity are traditionally used for their simplicity and performance. Some systems also use "anti-speaker" techniques such as cohort models and world models. Spectral features are predominantly used in representing speaker characteristics. Linear predictive coding (LPC) is a speech coding method used in speaker recognition and speech verification".
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Dear RG specialists, I am wondering if is there a phase transition to a localized transversal phonon sort of coherent state? We know that there is one for the diffuse photon field when light scattering becomes strong enough (frozen light limit [1,2]).
This question arises only for transverse waves [3,4].
Following [1] Frozen light, Sajeev J. Nature volume 390, pp. 661–662, 1997:
Are there strong interference effects, due to the wave-like nature of transverse phonons, which severely obstruct their diffusion?
We already know that electrons & photons can be localized, please see the following articles & references therein:
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The following research article is related to this thread:
Best Regards.
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I am required to make a report on the relation between the mechanical waves' domain and the Electromagnetic waves' domain.
I understand both are fundamentally independent of one another so I am confused of the request and willing to learn if there exists a direct relation (as in physics of the two waves) between the two types.
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Dear Mohammed Helal,
There are some mechanisms of interaction of electromagnetic and acoustic waves. For example Acoustooptics and Optoacoustics effects. You can find the theory in Internet
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Sensor is designed for maximal temperature of 130°C, pipe surface depending on application reaches 200-450°C. The isolation pad must have satisfactory acoustic conductivity of ultrasonic signal in frequency range between 0,2 to 5 MHz. The isolating pad should be several mm thin. Maybe some kind of cooling layers in required dimensions could be used. Contact surface of the sensors is in dimesions up to 40x80 mm.
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Dear colleague Miroslav Rusko, thank you for the information
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I have, as the outcome of data collection, three groups of music that have been used for different purposes. I have collected many different types of information about the individual pieces of music (pitch range, speed, acoustic properties, perceptual ratings of emotional content etc.) and I wish to determine what combination of these variables best explains the original grouping of the music. What statistical analysis method should I use? Thanks in advance.
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شكرا جزيلا زميلي العزيز
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I am at loss how to start my acoustic analysis. In fact, I downloaded many softwares and none of them could serve the purpose.
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Hello again, Farah. I see from your profile that your interest is primarily in phonetics. I am not a phonetics expert, but I know that Praat (https://www.fon.hum.uva.nl/praat/) is a very widely used package in this field, specifically designed for phonetic analysis, with a large set of features. It is free and open source and runs on most operating systems. Although it can be challenging to learn, there is an enormous amount of documentation online provided by the many users around the world.
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Hi,
I'm looking for a small (less than 0.5m of max length) underwater sound source to do some experimental measurements, any recommendations?
I'm looking for something robust and reliable but with prices ranging from lowcost to lab equipment.
All the best
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Hello Rolf,
I plan to use it on an aquarium / lab during days, a couple of weeks maximum.
We were using this (https://dnhloudspeakers.com/loudspeakers/underwater/aqua-30-2/) during a time but didn't work very good and easily get broken when we use more than 100 dB. I'm looking for something similar but more durable.
Thanks for your help!
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which is efficient model to generate band gaps for acoustic meta materials
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The following RG link is also very useful:
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Hello,
I just want to discuss a few things about the non-reflecting boundary condition (NRBC) function in LS-DYNA. In fact, I am studying a fluid-structure interaction problem using LS-DYNA Finite element explicit code. My main interest is to study the propagation of shock wave as well as its interaction with the structure. So, I modelled the fluid part using solid acoustic elements (along with *MAT_ACOUSTIC) in LS-DYNA. Then, I applied the pressure to the fluid elements. But, the problem is that I cannot introduce both loading and boundary conditions (NRBC) on the same segment at the same time. It happened that the non-reflecting boundary condition that I introduced does not seem to be working.
So, I would like to know if there is any way to activate the non-reflecting boundary at a later time step different from the load application time (preferably at the end of my loading phase).
Thank you very much.
Regards
Ye Pyae Sone Oo
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I am not sure but Restart analysis could work in your case. Define input parameter (dot_k) for the time limit up to the loading phase. Termination time should be equal to the time duration of the loading phase. After, normal termination you should have a dump file. Further, modify your dot_k file based on the requirement of non-reflecting surface and then do a Full restart analysis using earthe lier created dump file and modified input file.
I hope that this will work for you.
Thanks,
Suman
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As we know Maa et all have pioneered the theoretical calculations on Acoustics Impedance and Absorption by introducing the concept of micro-perforations. While preparing some theoretical predictions over the experimentally generated data many of the calculations in literature contradicts and seem a little confusing with imaginary terms and differential equations.
Are there any suggestions on some simplified calculations and methods that can be applied for theoretical modeling in MPP acoustics for the determination of Sound absorption Coeeficeint?
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Dear Abhishek,
If I understand well your question, you are looking for a simple analytical model for the prediction of MPPs impedance.
Such model is given by Maa (1998) [ ], Eq. (5).
Note that the impedance is a complex number.
I hope that helps
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Experimental results of the Sound absorption coefficient of material have mostly been found to be in good terms with the Theoretical models. But the calculations look confusing. With imaginary terms and differential equations.
Are there any simplified calculations and methods for theoretical modeling in acoustics?
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Regarding your question on the Nocke paper, Equation 6 is derived from the previous 5 equations. The numerical value of Equation 6 depends on the values chosen for the parameters b, d, t and D. If the system is linear, the impedance should not be dependent on sound pressure, so I am guessing that the p in the denominator should not be there.
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I am using 2 ultrasonic assembly for cleaning purpose and I want to increase cavitation intensity.
(1) a ceramic transducer with a diameter of 30 mm and a horn with a end diameter of 8 mm.
(2) a ceramic transducer with a diameter of 40 mm and a horn with a end diameter of 8 mm.
Since the input power of (2) is higher than that of (1), I expected that the sound pressure of (2) is higher than that of (1), but it was not.
I think it is because the acoustic impedance of (2) is much lower than that of (1) (even though the power is high, sound pressure can be lower since Z=p/v is lower).
1. Am I misunderstanding something??
2. If not, how to increase the acoustic impedance of the ultrasonic assembly??
3. How can I estimate the acoustic impedance of the ultrasonic assembly??
4. What is the best?? the acoustic impedance of the ultrasonic assembly should be equal to the acoustic impedance of the media (water in my case) or as high as possible?
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However, If you look up matching layers in general, you will find that they are quarter wave (in the matching layer material) thick and of impedance (Zh*Zw)^.5, where Zh is the acoustic impedance of the horn material and Zw the acoustic impedance of the water (1.5 MRayls). Ideally, you should also have a matching layer from the transducer into the horn as well, same formula but using the impedances of the ceramic and horn material. The matching layer is designed for one frequency (where the matching layer is a quarter-wave thick) so will not help a lot for high bandwidth (very short) pulses.
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I think if the amplitude is large then the acoustic pressure also high.
I have tried to increase the acoustic pressure and use the ultrasonic booster which is known to increase amplitude.
But it did not work. The acoustic pressre measured by hydrophone was almost same as the acoustic pressure of the transducer without booster.
I am wondering
1. What is the relationship between the acoustic pressure and the amplitude.
2. What is the ultrasonic booster. Does it can increase the acoustic pressure??
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I think you may find what you need on the website of the transducer manufacturer, who may have application notes about the use of transducers, or the website of the horn manufacturer. They may all be optimised for water, or IPA or MEBK.
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If yes, please indicate an example.
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I am currently looking for the concept of Sezawa wave. And I find one review paper on Sezawa SAW devices ( ).
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I am asking about how to find a formula for acoustic impedance for a porous wall with a variable thickness. The impedance is defined as a function of acoustic resistance (R) and acoustic reactance (X). The formula for the impedance is attached. In the case of having a wall of the same porous material, but the thickness is changing.
How the formula should be modified?
where,
R : acoustic resistance
X: acoustic reactance
X1: Mass coefficient
X2:cavity coefficient
w:frequency
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Yes.
If you want to learn more about acoustic of porous media, you can refer to the book of Allard and Atalla, "Propagation of sound in porous media" or to the Matelys lab website https://apmr.matelys.com/
The propagation models are listed and explained in both references.
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Greetings! Looking for an advice on possible technical literature about specific subject: Influence of an acoustic waves on electronics and it's failure mechanics. If anyone is familiar with respectable source of information, please let me know. Thanks in advance!
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Thomas Cuff , of course I am at liberty. But this is more general, than you think. For example, ballistic calculator in rifles upon shooting.
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I have two IDTs (interdigitated transducers) orthogonal to each other o a piezoelectric substrate. I want to know what happens when an RF signal is applied to both the IDTs at the same time. how to find out the orthogonal interference of two acoustic waves?
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The article says that high intensity waves are non-linear. If waves are non-linear they interact with each other. If they are linear, then that do not interact with each other. This means that they each behave as if the other is not there.
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1) I would like to know how to choose the acoustic sum rule for phonon calculation in Quantum Espresso for polar materials and also for any materials in general.
2) Based on what criteria we have to choose the acoustic sum rule for a particular material under study.
3) I would also like to know the detailed theoretical explanation behind this.
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Calculations using ASR help us to get rid from the first three mahipal negative frequencies which sometimes is because of the computational errors .
So there are many methods of ASR as implemented in quantum espresso like
asr ='simple'
asr= 'crystal'
In q2r.in and matdyn.in you can add these blocks and can compare the phonons for better understanding.
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The aim is to characterize a DAS instrument connected to a fiber optic cable.
what are the properties that I should look into ? white noise ? Dynamic range? SNR ?
I did some choc tests and I'm thinking on how should I calculate the SNR. Should I calculate a SNR for different frequency band ?
Thank you in advance,
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At any way statistically standard deviation can be used to refer for the root mean square value, of signal, then separate information signal from noisy signal by the means of signal processing to calculate SNR.
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I have to understand the use of green's function in acoustics . What does it signify ?
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Dr. Utkarsh Chhibber, in addition to all the instructive & pedagogical answers to your thread, I would like to mention that in acoustics, the Green function method can be used also to study the time-reversal invariance problem.
Please look at this very instructive review article:
Open access link:
.../royalsocietypublishing.org/doi/10.1098/rsta.2015.0156
Best Regards.
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I want to optimize the placement of the sensors on a 3d terrain which is created in the arcmap.
I want to find the optimum no of sensors to be used on the terrain,
can you help me in the algorithm part.
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Try to calculate the lighting and shadow zones from light sources placed at different points on the relief. Naturally, the light sources should be higher than the treetops. The situation is paradoxical in that the points that create the maximum illuminated area are located near the depressions of the relief, and not near the peaks.
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Acoustic field modelling, structure fluid coupled responses
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I have a suggestion for you the Comsol Multiphysics to model the acoustic systems, it's a software wich based on finit element metod to solve the model. you can also found a librery on acoustics field integreted in this software .please check the link:
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Hello,
I am trying to find acoustic round-trip latency of Android smartphones. I have using the technique of where I play a beep and listen to it through the phone and then perform convolution and get time index where we get the peak value.
Issues:
Here the issue is that when we play our beep, the AEC and NS of Android smartphones cancel and attenuate the beep and it cant be seen in recorded data.
Background & Relevant Information:
Most of the applications that measure acoustic latency such as the OboeTester app etc. use VOICE_RECOGNITION (https://developer.android.com/reference/android/media/MediaRecorder.AudioSource#VOICE_RECOGNITION) mode. In this mode, no DSP is performed and we get raw data. But this excludes the latency of DSP algorithms performed by the built-in components.
What I want:
I want to find the round trip latency using VOICE_COMMUNICATION mode. In this mode, all components of AEC, AGC, and NS are activated. But this cancels our beep and we can't get accurate results.
Is there any want to find latency while AEC and NS are working. Looking forward for the solution.
Regards,
Khubaib
Relevant answer
Answer
Let's say I play a voice signal that will from a phone speaker and then capture it with the same phone's mic. If AEC is there, a played signal will be set as a reference signal and it will remove the captured signal. That's what I think.
  • asked a question related to Acoustics
Question
5 answers
We know that by using a microphone array we gain extra SNR. In the meantime, vector sensors are also with that advantage, and moreover, able to achieve that with a single sensor without the necessity of using an array. However, the reality is nowadays most acoustic products are using a microphone array instead of a vector sensor. Why is that?
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Answer
There isn’t always a sharp distinction between microphones and vector sensors. As an example, any directional microphone, such as cardioid and super-/hypercardioid, is a 1d vector sensor.