Wael A. Altabey

Wael A. Altabey
Southeast University (China) | SEU · National and Local Joint Engineering Research Center for Basalt Fiber Production and Application Technology, International Institute for Urban Systems Engineering (IIUSE), Dept. of Civil Engineering.

Professor (Associate)
Artificial Intelligence (AI) based schemes for structural health monitoring and damage detection of composite structures

About

88
Publications
91,597
Reads
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615
Citations
Introduction
Wael A. Altabey has been an associate professor at Southeast University, Nanjing, China. He was awarded a post-doctoral research certificate in 2018, from Southeast University, after completing a post-doctoral research fellowship for two years, in AI-based schemes for SHM, and damage detection of composite structures.
Additional affiliations
April 2018 - present
Nanjing Zhixing Information Technology Company
Position
  • Professor (Assistant)
March 2015 - February 2016
Specialized Scientific Programs, Faculty of Engineering, Alexandria University
Position
  • Professor (Assistant)
March 2015 - February 2016
Air Defense College, Army Force, Abu Qir
Position
  • Professor (Assistant)
Education
March 2016 - March 2018
Southeast University (China)
Field of study
  • Structure Health Monitoring (SHM) of composite structures
February 2011 - January 2015
Alexandria University
Field of study
  • Mechanical Engineering
April 2007 - September 2009
Alexandria University
Field of study
  • Mechanical Engineering

Publications

Publications (88)
Article
A critical problem encountered in structural health monitoring of civil engineering structures, and other structures such as mechanical or aircraft structures, is how to convincingly analyze the nonstationary data that is coming online, how to reduce the high-dimensional features, and how to extract informative features associated with damage to in...
Article
Although the effectiveness of discrete wavelet transform (DWT) for analyzing time-varying measurements has been studied for mechanical and civil engineering applications, a few fundamental questions still need to be answered, such as how to choose an optimal decomposition level (DL) for a specific task. Selection of the optimal DL still remains a q...
Article
Full-text available
Automatic crack identification for pipeline analysis utilizes three-dimensional (3D) image technology to improve the accuracy and reliability of crack identification. A new technique that integrates a deep learning algorithm and 3D shadow modeling (3D-SM) is proposed for the automatic identification of corrosion cracks in pipelines. Since the depth...
Article
Full-text available
Identifying structural damage is an essential task for ensuring the safety and functionality of civil, mechanical, and aerospace structures. In this study, the structural damage identification scheme is formulated as an optimization problem, and a new meta-heuristic optimization algorithm, called visible particle series search (VPSS), is proposed t...
Poster
Full-text available
Dear Friends and Researchers, I’m pleased to inform you that our special issue entitled, "Hysteresis in Engineering Systems", is currently running in Applied Sciences, MDPI (Q2, IF =2.7). The main objective of this proposed Special Issue is to collect contributions from active researchers in the field of hysteresis, and from structural, electrical,...
Article
Full-text available
Seismic response prediction is a challenging problem and is significant in every stage during a structure’s life cycle. Deep neural network has proven to be an efficient tool in the response prediction of structures. However, a conventional neural network with deterministic parameters is unable to predict the random dynamic response of structures....
Article
Full-text available
This study presents the results of long-term field measurement of two RC beams under the simultaneous effect of medium to high temperature, shrinkage, and self-weight creep. In industrial complexes such as steel making plants, these members may, in addition to creep and shrinkage, be exposed to high temperature. However, less attention has been pai...
Article
Full-text available
Damage detection of civil and mechanical structures based on measured modal parameters using model updating schemes has received increasing attention in recent years. In this study, for uncertainty-oriented damage identification, a non-probabilistic structural damage identification (NSDI) technique based on an optimization algorithm and interval ma...
Article
Dynamic response problem of the Timoshenko shear beam resting on the transversely isotropic viscoelastic foundation and subjected to a moving load is investigated. The extended Hamilton's principle is used to obtain the dynamic response equations of the beam-soil system. The corresponding partial differential equations are derived using variational...
Article
A novel dynamic soil-structure interaction model is developed for analysis for Euler–Bernoulli beam rests on a spatially random transversely isotropic viscoelastic foundation subjected to moving and oscillating loads. The dynamic equilibrium equation of beam-soil system is established using the extended Hamilton's principle, and the corresponding p...
Article
An important and critical area within the broad domain of structural health monitoring, as related to reinforced civil and mechanical structures, is the assessment of creep, shrinkage, and high-temperature effects on reliability and serviceability. Unfortunately, the monitoring and impact of these inherent mechanical characteristics and behaviors,...
Article
Full-text available
Magnetorheological elastomeric (MRE) material is a novel type of material that can adaptively change the rheological property rapidly, continuously, and reversibly when subjected to real-time external magnetic field. These new type of MRE materials can be developed by employing various schemes, for instance by mixing carbon nanotubes or acetone con...
Article
Hysteresis is a nonlinear phenomenon observed in the dynamic response behavior of numerous structural systems under high intensity cyclic or random loading, as well as in numerous mechanical and electromagnetic systems. For several decades, hysteretic response analysis of structural systems has been widely studied and numerous hysteresis models hav...
Chapter
Structural health monitoring (SHM) of civil infrastructures has become one of the fastest-growing research areas over the past two decades. SHM has evolved into measuring, processing, collecting, and storing massive amounts of data to provide valuable information for owners and managers to control and manage their structure’s integrity. One of the...
Article
Implementation of efficient vibration control schemes for seismically excited structures is becoming more and more important in recent years. In this study, the influence of different control schemes on the dynamic performance of a frame structure excited by El Centro wave, with an emphasis on reaching law based control strategies, is examined. Rea...
Conference Paper
Full-text available
Vibration measured data in civil engineering structures, is a physical quantity varying with time, contaminated from varied sources and affected by uncertainties not accounted for during the data acquisition. It can be high dimensional, which can obstruct the decision algorithms accuracy. The issue is how to analyses these data to well correlate th...
Conference Paper
Full-text available
Rapid progress in the field of sensor technology leads to acquisition of massive amounts of measured data from structures being monitored. The data, however, contains inevitable measurement errors which often cause quantitative damage assessment to be ill conditioned or flawed. Attempts to incorporate a probabilistic method into a model, in order t...
Article
Full-text available
Concrete columns are the most important load-bearing components in civil structures. The potential damage in reinforced concrete (RC) columns could be categorized into three different failure modes: flexural shear (FS) failure, flexural-failure (FF), and shear failure (SF). The corresponding hysteresis loops for each mode differ significantly. Ther...
Article
Full-text available
Numerous damage detection methods have been discovered to provide an early warning at the earliest possible stage against structural damage or any type of abnormality in the wind turbine system. In this paper, a comprehensive literature review is carried out in the field of damage detection for wind turbine systems. Several modern signal processing...
Article
Full-text available
In this paper, the vibration behavior features are extracted from the combination between Wavelet Transform (WT), and Finite Strip Transition Matrix (FSTM) of skew composite plates (SCPs), with variable thickness, and intermediate elastic support. Although, the results of this technique and based on the previous work done by the authors, that show...
Article
Full-text available
Recent advancements in sensor technology have resulted in the collection of massive amounts of measured data from the structures that are being monitored. However, these data include inherent measurement errors that often cause the assessment of quantitative damage to be ill-conditioned. Attempts to incorporate a probabilistic method into a model h...
Article
The objective of this paper is to demonstrate how assessment of seismic vulnerability can be effective in protection against earthquakes. Findings are reported from a case study in a densely populated urban area near an active fault, utilizing practical methods and exact engineering data. Vulnerability factors were determined due to technical consi...
Article
Full-text available
A critical problem facing data collection in structural health monitoring, for instance via sensor networks, is howto extract the main components and useful features for damage detection. A structural dynamic measurement is more often a complex time-varying process and therefore, is prone to dynamic changes in time-frequency con-tents. To extract t...
Article
Full-text available
Earth buildings are common types of structures in most rural areas in all developing countries. Catastrophic failure and destruction of these structures under seismic loads always result in loss of human lives and economic losses. Wall is an important load-bearing component of raw soil buildings. In this paper, a novel approach is proposed to impro...
Article
Full-text available
Over the past two decades, extensive research has been carried out in the field of structural health monitoring for damage detection in structural systems. Some crack detection methods are based on the finite element model of a beam and use vibration data are developed. These methods identify the crack by updating of the finite element model accord...
Article
Full-text available
Beam-like structures are a class of common but important structures in engineering. Over the past few centuries, extensive research has been carried out to obtain the static and dynamic response of beam-like structures. Although building the finite element model to predict the response of these structures has proven to be effective, it is not alway...
Article
Full-text available
Vibration-based structural damage identification through optimization techniques has become an interesting research topic in recent years. Dynamic characteristics such as frequencies and mode shapes are used to construct the objective function. The objective functions based on only frequencies are not very sensitive to damage in large structures. H...
Conference Paper
Full-text available
Advanced sensor network techniques recently allow collecting large amounts of data for structural health monitoring and damage detection, while how to effectively interpret these complex sensor data to technical information poses many challenges. This paper presents a machine learning algorithm for processing of big data collected from the sensor n...
Conference Paper
Full-text available
Advanced sensor network techniques recently allow collecting large amounts of data for structural health monitoring and damage detection, while how to effectively interpret these complex sensor data to technical information poses many challenges. This paper presents a machine learning algorithm for processing of big data collected from the sensor n...
Conference Paper
Full-text available
The effectiveness of surrogate models, when applied in vibration-based damage detection, has been demonstrated in many studies. However, the use of surrogate models has been questioned in terms of its reliability in the face of uncertainties in measurement and modelling data. Attempts to incorporate a probabilistic method into a model, by treating...
Article
Structural control and health monitoring scheme play key roles not only in enhancing the safety and reliability of infrastructure systems when they are subjected to natural disasters, such as earthquakes, high winds, and sea waves, but it also optimally minimize the life cycle cost and maximize the whole performance through the full life cycle desi...
Article
This paper introduces a stiffness reduction based model developed by the authors to characterize accumulative fatigue damage in unidirectional plies and (0/?/0) composite laminates in fiber reinforced polymer (FRP) composite laminates. The proposed damage detection model is developed based on a damage evolution mechanism, including crack initiation...
Article
Strain is sensitive to damage, especially in steel structures. However, a traditional strain gauge does not fit bridge damage identification because it only provides the strain information of the point, where it is set up. While traditional strain gauges suffer from drawbacks, a long-gage FBG strain sensor is capable of providing the strain informa...
Article
Full-text available
Modal macro strain-based damage identification is a promising approach since it has the advantages of high sensitivity and effectiveness over other related methods. In this paper, a basalt fiber-reinforced polymer (BFRP) pipeline system is used for analysis by using long-gauge distributed fiber Bragg grating (FBG) sensors. Dynamic macro strain resp...
Article
One of the major problems in glass fiber reinforced Epoxy (GFRE) composite pipes is the durability under water absorption. This condition is generally recognized to cause degradations in strength and mechanical properties. Therefore, there is a need for an intelligent system for detecting the absorption rate and computing the mass of water absorpti...
Article
This research investigates a damage identification framework for carbon fiber reinforced polymer composite pipeline systems using electrical capacitance sensors. First, a finite element pipeline model is established under the structural-thermal-electrostatic coupled field. Based on this model, an accumulative damage model is introduced to model the...
Article
The objective of this study is to predict the fatigue life of carbon fiber/epoxy composite laminate sheets involving twelve balanced woven bidirectional layers with the same orientation angle [0/90°]. The composite sheets considered are subjected to variable amplitude block loadings with different negative and positive stress ratios. This objective...
Article
Studying the changes of the natural frequencies due to intermediate elastic support of laminated composites is usually need a lot of computational processes or difficult to estimate. The present study employs a new high performance method for natural frequency estimating in basalt fiber reinforced polymer (FRP) laminated, variable thickness plates...
Article
Structural health monitoring has increasingly been a focus within the civil engineering research community over the last few decades. With increasing application of sensor networks in large structures and infrastructure systems, effective use and development of robust algorithms to analyze large volumes of data and to extract the desired features h...
Article
Knowledge of thin films mechanical properties is strongly associated to the reliability and the performances of Nano Electro Mechanical Systems (NEMS). In the literature, there are several methods for micro materials characterization. Bulge test is an established nondestructive technique for studying the mechanical properties of thin films. This st...
Article
Since composite structures are widely used in structural engineering, delamination in such structures is an important issue of research. Delamination is one of a principal cause of failure in composites. In This study the electrical potential (EP) technique is applied to detect and locate delamination in basalt fiber reinforced polymer (FRP) lamina...
Article
The paper is focused on the application of artificial neural networks (ANNs) in predicting the natural frequency of basalt fiber reinforced polymer (FRP) laminated, variable thickness plates. The author has found that the finite strip transition matrix (FSTM) approach is very effective to study the changes of plate natural frequencies due to interm...
Article
This paper presents a semi-analytical method to investigate the effect of intermediate elastic support on the natural frequencies of basalt fiber reinforced polymer (FRP) laminated, variable thickness plates based on the finite strip transition matrix (FSTM) method. The plate has a uniform thickness in x direction and varying thickness h(y) in y di...
Article
Lamb waves are guided waves and have many useful properties that can be exploited for non-destructive testing (NDT) and structural health monitoring (SHM) applications. Utilization of Lamb waves for these purposes have led to the development of some of the most promising methods and have resulted in numerous useful and practical applications over t...
Article
In this paper, the structural mode shapes extracted from the finite element model of a simply supported reinforced concrete beam are employed for damage identification using different types of wavelets. To start with, the parity of signals, wavelets, and their convolution, that is, wavelet transform properties, are verified. In light of the mathema...
Article
Full-text available
Novel modulation electrical potential change (EPC) method for fatigue crack detection in a basalt fibre reinforced polymer (FRP) laminate composite pipe is carried out in this paper. The technique is applied to a laminate pipe with an embedded crack in three layers [0º/90º/0º]s. EPC is applied for evaluating the dielectric properties of basalt FRP...
Article
The Micro circular diaphragm (MCD) is the mechanical actuator part used in the micro electro-mechanical sensors (MEMS) that combine electrical and mechanical components. These actuators are working under harsh mechanical and thermal conditions, so it is very important to study the mechanical and thermal behaviors of these actuators, in order to do...
Article
Delamination is the most common failure mode in layered composite materials. The author have found that the electrical potential change (EPC) technique using response surfaces method is very effective in assessment delamination in basalt fiber reinforced polymer (FRP) laminate composite pipe by using electrical capacitance sensor (ECS). In the pres...
Article
The inherent variability of major infrastructure can be associated with structural properties such as member size and geometry, elastic constants, density, strength characteristics or external load types. These variables and factors may give rise to risk, safety and uncertainty for general structures. In this paper, a comprehensive reliability eval...
Article
Full-text available
Modern machine tools with high speed machining capabilities could place rotating shafts, gears, and bearings under extreme thermal, static, and impact stresses, potentially increasing their failure rates. In this research, a gearbox damage detection strategy based on discrete wavelet transform (DWT), wavelet packet transform (WPT), support vector m...
Presentation
Lamb waves are guided waves and have many useful properties that can be exploited for non-destructive testing (NDT) and structural health monitoring (SHM) applications. Utilization of Lamb waves for these purposes have led to the development of some of the most promising methods and have resulted in numerous useful and practical applications over t...
Article
The present work develops an expert system for detecting and predicting the crude oil types and properties at normal temperature (θ = 25°C), by evaluating the dielectric properties of the fluid transfused inside glass fiber reinforced epoxy (GFRE) composite pipelines, by using electrical capacitance sensor (ECS) technique, then used the data measur...
Article
One of major errors in flow rate measurement for two-phase flow using an Electrical Capacitance Sensor (ECS) concerns sensor sensitivity under temperature raise. The thermal effect on electrical capacitance sensor (ECS) system for air-water two-phase flow monitoring include sensor sensitivity, capacitance measurements, capacitance change and node p...
Article
As the study of internal corrosion of pipeline need a large number of experiments as well as long time, so there is a need for new computational technique to expand the spectrum of the results and to save time. The present work represents a new non-destructive evaluation (NDE) technique for detecting the internal corrosion inside pipeline by evalua...
Conference Paper
As the study of internal corrosion of pipeline need a large number of experiments as well as long time, so there is a need for new computational technique to expand the spectrum of the results and to save time. The present work represents two techniques to detect the corrosion rates inside steel pipelines and study and predict the effect of pipelin...
Presentation
The main target of this work is to determine the thermo-mechanical behavior of micro circular diaphragm by using the bulge test technique. The diaphragm is first pre-stressed to ensure that no initial deflection before applied the load and then clamped between two plates, and the lower side is subjected to fluid with pressure P and temperature Tb....
Presentation
The first target: to detect the corrosion rates inside pipelines by using electrical capacitance sensor (ECS) to measure the capacitance change (Ci-j) under N-electrode sensor mounted on the outer surface of the pipe, the data are studied by ANSYS and MATLAB. The second target: to predict and analyze the effect of internal temperature (θ) on the co...
Presentation
MATLAB GUI presentation
Presentation
MATLAB simulink presentation
Book
Full-text available
This book has been designed and written to support the learning process in the Fundamentals of Machine Design course. It is therefore limited and dedicated to topics included in the contents of the book only. The arrangement of chapters is also governed by solve examples, assignments offered and problems. Each chapter comprises the body of a chapte...
Thesis
Composite materials are advanced materials that are suitable to use in many engineering applications, notably in the aerospace, marine, automotive parts, oil and gas industries and consumer goods. The present work, studies the fatigue behavior of Woven-roving Glass Fiber Reinforced Epoxy (GFRE) tube, with two fiber orientations [0,90°]3s and [±45°...
Presentation
The first target to study the effect of internal pressure on the fatigue behavior of Woven-roving Glass Fiber Reinforced Epoxy (GFRE) tube, with Two fiber orientations, [0o,90o]3s and [±45o]3s, subjected to combined completely reversed bending moments and hydrostatic pressure. under different pressure ratios (Pr) between the applied pressure and bu...
Chapter
This paper presents the finite strip transition matrix technique (FSTM) and a semi-analytical method to obtain the natural frequencies and mode shapes of symmetric angle-ply laminated composite rectangular plate with classical boundary conditions (S-S-F-F). The plate has a uniform thickness in x direction and varying thickness h(y) in y direction....
Presentation
The fatigue behavior of composite materials is generally more complicated, in term of failure mechanics, than that of metals. As the study of fatigue failure of composite materials needs a large number of experiments as well as long time, so there is a need for new computational technique to expand the spectrum of the results and to save time. The...
Article
Full-text available
As the study of fatigue failure of composite materials needs a large number of experiments as well as long time, so there is a need for new computational technique to expand the spectrum of the results and to save time. The present work represents a new technique to predict the fatigue life of Woven Roving Glass Fiber Reinforced Epoxy (GFRE) subjec...