Susmita Naskar

Susmita Naskar
University of Southampton · Faculty of Engineering and Physical Sciences

Ph.D.

About

56
Publications
16,939
Reads
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663
Citations
Citations since 2016
41 Research Items
648 Citations
2016201720182019202020212022050100150
2016201720182019202020212022050100150
2016201720182019202020212022050100150
2016201720182019202020212022050100150
Additional affiliations
January 2016 - May 2016
University of Aberdeen
Position
  • Research Assistant
Description
  • Design of Mechanical Elememts
September 2015 - December 2015
University of Aberdeen
Position
  • Teaching Assistant (demonstrator and accessor)
Description
  • Fundamental of Engineering Materials and Advance Composite Materials
Education
May 2015 - April 2018
University of Aberdeen
Field of study
  • Engineering

Publications

Publications (56)
Article
Full-text available
This paper proposes an accurate three-dimensional framework for elastic and viscoelastic free vibration investigation of in-plane functionally graded (IPFG) orthotropic rectangular plates integrated with piezoelectric sensory layers. The developed {analytical} framework is capable of considering layer-wise unidirectional linear functional gradation...
Preprint
Computationally efficient and trustworthy machine learning algorithms are necessary for Digital Twin (DT) framework development. Generally speaking, DT-enabling technologies consist of five major components: (i) Machine learning (ML)-driven prediction algorithm, (ii) Temporal synchronization between physics and digital assets utilizing advanced sen...
Preprint
Full-text available
U.S. Nuclear Regulatory Committee (NRC) and U.S. Department of Energy (DOE) initiated a future-focused research project to assess the regulatory viability of machine learning (ML) and artificial intelligence (AI)-driven Digital Twins (DTs) for nuclear applications. Advanced accident tolerant fuel (ATF) is one of the priority focus areas of the DOE/...
Article
Full-text available
Architected lattice materials, realized through artificial micro-structuring, have drawn tremendous attention lately due to their enhanced mechanical performances in multi-functional applications. However, the research area on the design of artificial microstructures for the modulation of mechanical properties is increasingly becoming saturated due...
Article
Developing a printed elastomeric wearable sensor with good conformity and proper adhesion to skin, coupled with the capability of monitoring various physiological parameters, is very crucial for the development of point-of-care sensing devices with high precision and sensitivity. While there have been previous reports on the fabrication of elastome...
Article
First-order shear deformation theory (FSDT) is less accurate compared to higher-order theories like higher-order zigzag theory (HOZT).In case of large-scale simulation-based analyses like uncertainty quantification and optimization using FSDT, such errors propagate and accumulate over multiple realizations, leading to significantly erroneous result...
Article
Full-text available
Owing to inhomogeneous strain and high surface-to-volume ratio in nanostructures, it is imperative to account for the flexoelectricity as well as surface effect while analyzing the size-dependent electromechanical responses of nano-scale piezoelectric materials. In this article, a semi-analytical ‘single-term extended Kantorovich method (EKM)’ and...
Conference Paper
Due to its electromechanical applications in the form of nanodevices such as distributors, actuators, and sensors, the electromechanical behavior of piezocomposite structures becomes a new avenue for research. This article presents the derivation of an exact analytical solution of the composite plate based on theory of Kirchhoff’s plate and extende...
Article
Full-text available
Owing to their applications in devices such as in electromechanical sensors, actuators and nanogenerators, the consideration of size-dependent properties in the electromechanical response of composites is of great importance. In this study, a closed-form solution based on the linear piezoelectricity, Kirchhoff’s plate theory and Navier’s solution w...
Article
This article presents different micromechanical modelling techniques based on analytical and numerical approaches to determine the effective elastic and piezoelectric (piezoelastic) properties of graphene-based composite materials. Different types, orientations and shapes as well as different geometrical parameters of fiber reinforcement are consid...
Article
Full-text available
This paper presents a machine learning assisted efficient, yet comprehensive characterization of the dynamics of coronaviruses in conjunction with finite element (FE) approach. Without affecting the accuracy of prediction in low-frequency vibration analysis, we have proposed an equivalent model for the FE analysis, based on which the natural freque...
Article
Full-text available
The utility of carbon nanotubes as the reinforcement agents in polymer and metal matrix composites has opened up a new avenue in the development of novel composite materials with exceptional strength and stiffness to weight ratios. Such exploitation of superior mechanical properties of carbon nanotubes depends on their inherent irregularities and s...
Cover Page
Full-text available
Dear all, We are organizing a special issue: "Advanced Multi-functional Composites and Metamaterials" in the Journal of Composites Science (https://www.mdpi.com/journal/jcs). As the Guest Editors of this special issue we cordially invite you and your colleagues to contribute a paper (original research or a review). The paper can be published wit...
Article
Full-text available
This article proposes the concept of anisotropy tailoring in multi-material lattices based on a mechanics-based bottom-up framework. It is widely known that isotropy in a mono-material lattice can be obtained when the microstructure has an isotropic geometry. For example, regular hexagonal lattices with a unit cell comprised of six equal members an...
Article
Full-text available
Two-dimensional (2D) materials are crucially important nanomaterials because of their exciting multi-functional properties. However, a single layer of 2D materials may not have a certain property adequately, or multiple application-specific properties simultaneously to the desired and optimal level. For mitigating this lacuna, a new trend has emerg...
Article
Full-text available
Due to the absence of adequate control at different stages of complex manufacturing process, material and geometric properties of composite structures are often uncertain. For a secure and safe design, tracking the impact of these uncertainties on the structural responses is of utmost significance. Composite materials, commonly adopted in various m...
Article
This paper quantifies the influence of uncertainty in the low-velocity impact responses of sandwich plates with composite face sheets considering the effects of obliqueness in impact angle and twist in the plate geometry. The stochastic impact analysis is conducted by using finite element (FE) modelling based on an eight nodded isoparametric quadra...
Article
Full-text available
This paper deals with the stochastic sensitivity analysis of functionally graded material (FGM) plates subjected to free vibration and low-velocity impact to identify the most influential parameters in the respective analyses. A hybrid moment-independent sensitivity analysis is proposed coupled with the least angle regression based adaptive sparse...
Article
Full-text available
This article presents a concise overview on condition monitoring and retrofitting/ strengthening of structures including a practical case study of strengthening for an existing historical building. Condition assessment of an existing structure is required mainly to check serviceability and safety requirements of the structure after short term event...
Article
Full-text available
This article presents a non-probabilistic fuzzy based multi-scale uncertainty propagation framework for studying the dynamic and stability characteristics of composite laminates with spatially varying system properties. Most of the studies concerning the uncertainty quantification of composites rely on probabilistic analyses, where the prerequisite...
Article
Full-text available
The coupled effect of manufacturing uncertainty and a critical service-life damage condition (delamination) is investigated on the natural frequencies of laminated composite plates. In general, delamination is an unavoidable phenomenon in composite materials encountered often in real-life operating conditions. We have focused on the characterizatio...
Conference Paper
This paper presents the effect of noise on Radial basis function (RBF) based stochastic natural frequency analysis of thin-walled laminated composite beams. The RBF based method is built up on the basis of information acquired regarding the behaviour of the response quantity throughout the entire design space utilizing few algorithmically chosen de...
Article
Full-text available
This article presents a probabilistic framework to characterize the dynamic and stability parameters of composite laminates with spatially varying micro and macro-mechanical system properties. A novel approach of stochastic representative volume element (SRVE) is developed in the context of two dimensional plate-like structures for accounting the c...
Chapter
This chapter presents an exhaustive comparative investigation on the performance of neural network based models for the stochastic natural frequency analysis of composite plates. Both individual and combined variations of input parameters are considered to account for the effect of low and high dimensional input parameter spaces in the surrogate ba...
Article
This paper presents a stochastic approach to study the natural frequencies of thin-walled laminated composite beams with spatially varying matrix cracking damage in a multi-scale framework. A novel concept of stochastic representative volume element (SRVE) is introduced for this purpose. An efficient radial basis function (RBF) based uncertainty qu...
Article
Full-text available
This paper presents a generic multivariate adaptive regression splines-based approach for dynamics and stability analysis of sandwich plates with random system parameters. The propagation of uncertainty in such structures has significant computational challenges due to inherent structural complexity and high dimensional space of input parameters. T...
Article
This paper presents the quantification of uncertain natural frequency for laminated composite plates by using a novel surrogate model. A group method of data handling in conjunction to polynomial neural network (PNN) is employed as surrogate for numerical model and is trained by using Latin hypercube sampling. Subsequently the effect of noise on a...
Article
This paper presents the effect of noise on surrogate based stochastic natural frequency analysis of composite laminates. Surrogate based uncertainty quantification has gained immense popularity in recent years due to its computational efficiency. On the other hand, noise is an inevitable factor in every real-life design process and structural respo...
Article
This article presents a new field-deployable algorithm harnessing the metal-wire-based variant of the electro-mechanical impedance technique, warranting drastically lesser number of piezo sensors, for damage detection and localization on large two-dimensional structures such as plates. The metal-wire-based approach is a new variant of the electro-m...
Conference Paper
Full-text available
Piezoelectric materials, especially the ceramic version lead zirconate titanate (PZT), are the among the most widely used smart materials today. This paper presents the state-of-the art in the application of PZT patches in various disciplines of science and technology. The most striking application of the PZT patches in the field of non-destructive...
Conference Paper
Full-text available
This paper presents an overview of the Virtual Smart Structures and Dynamics Lab (VSSDL) at the Department of Civil Engineering, IIT Delhi. VSSDL has been set up as a part of the ‘Virtual Labs’ project sponsored by the Ministry of Human Resource Development (MHRD), Government of India, under the National Mission on Education through Information and...
Conference Paper
Full-text available
This paper presents an overview of the recent experimental and numerical developments in the field of metal wire based electro-mechanical impedance (MWBEMI) technique for the purpose of structural health monitoring (SHM). MWBEMI approach is a new variant of the EMI technique and has specific advantages, which makes it a preferred technique for cert...
Conference Paper
Full-text available
Infrastructure construction is the second largest economic activity in India after agriculture and it is growing rapidly. Structural Health Monitoring (SHM) aims to provide new solutions for easy and swift inspection of engineered structures. Electromechanical impedance (EMI) technique is a relatively new useful and convenient technique in the are...
Thesis
Full-text available
The electro mechanical impedance technique (EMI) is one and half decade’s old non-destructive evaluation technique, which is increasingly becoming very popular in the field of structural health monitoring (SHM). Though this technique shows promising results in the area of SHM, the main disadvantage of this technique is the brittleness of the piezo-...
Conference Paper
Full-text available
Electro mechanical impedance method (EMI) is a newly non-destructive evaluation method which is becoming very famous in the field of structural health monitoring. In this article a new approach is being proposed to effectively detect the initiation and progression of structural damage by the global dynamic electro-mechanical impedance (EMI) techniq...

Questions

Question (1)
Question
I'm trying to model orthotropic structure with LS-PrePost. They are quite simple ones in drawing, yet I find it a little bit difficult since the drawing interface and commands are a bit classic.
I would appreciate it if anyone can give some suggestions.

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Projects

Projects (6)
Project
Developing mechanics based analytical frameworks and probabilistic analyses of nano-materials
Project
Developing highly desirable properties in materials that do not typically occur in nature
Project
Enhancing the performance of vibrating energy harvesting systems of multilayer FGM structures