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Structural Health Monitoring (SHM) in composite structures is crucial for safety, increased lifespan, and cost efficiency with early damage detection. The book introduces the reader to composite materials, basic concepts, terminology, design concepts for composite materials structures, composite manufacturing, fabrication and processing. It explains the mechanics behavior of composite materials, SHM in composite structures theory and artificial intelligence algorithms in SHM, including machine learning, deep learning, and artificial neural networks. The book describes the capability of Non-Destructive Testing (NDT) techniques for SHM, characteristics of piezoelectric Sensors for SHM and lamb wave technique based SHM and include case studies of SHM of composite structures such as composite pipelines, plates, using NDT different methods integrated with artificial intelligence algorithms.
Über den Autor / die Autorin
Dr. Wael A. Altabey is a full professor at department of Mechanical Engineering,
Alexandria University, Alexandria, Egypt. Before that he was a research associate professor
between 2018 to 2024 at International Institute for Urban Systems Engineering (IIUSE),
Southeast University, Nanjing, China, and National and Local Joint Engineering Research Center
for Basalt Fiber Production and Application Technology, Southeast University, Nanjing,
Jiangsu, China, after completing a postdoctoral research fellowship for two years
(2016-2018).Since 2016 his researches have focused on the utilization of Artificial
Intelligence (AI) based schemes for structural health monitoring (SHM) and Non-Destructive
Testing (NDT) for damage classification, detection, diagnosis, prediction, dynamic response
analysis, and Reliability evaluation in composite, and steel Structures (such as aircraft,
wind turbines, pipes, bridges and industrial machines) at National and Local Joint Engineering
Research Center for Basalt Fiber Production and Application Technology, Southeast University,
Nanjing, Jiangsu, China. This is the only national R&D platform awarded by the National
Development and Reform Commission in this industry with more than 30 national authorized
patents. The center's international and national awards indicators have reached international
and local leading levels and filling many technical gaps in China.He participated in several
research activities, which achieved from NSFC and private sectors. He listed in Stanford List
of World's Top 2% Scientists from 2020, until now. He serves on various technical committees
in several international conferences and workshops, guest editor of special Issues in several
international scientific journals and on the editorial board of several international
scientific journals in the field of artificial intelligence, mechanical, materials, and civil
engineering. He a peer reviewer of more than 140 international scientific journals. He is an
author and co-author of more than 110 high impact journ al papers, 60 scientific conference
papers and 50 chapters, 10 academic and research books, patent, and delivered over 40 invited
talks.His research interests: Smart and Nanomaterials; Composite Structures; Structural Health
Monitoring (SHM); Artificial Intelligence (AI); Non-Destructive Testing (NDT); Digital Twins
Model of Structural Behavior, System Identification; Damage Detection: Vibration-Based
Techniques; Fiber Optical Sensing Technique, Structural Control; Structural Resilience and
Reliability, Hysteretic Systems, Micro/Nano Electro Mechanical Systems (MEMS/ NEMS), and
Energy Harvesting Model for Self-Powered Sensors.
Zusammenfassung
Structural Health Monitoring (SHM) in composite structures is crucial for safety,
increased lifespan, and cost efficiency with early damage detection. The book introduces the
reader to composite materials, basic concepts, terminology, design concepts for composite
materials structures,composite manufacturing, fabrication and
processing. It explains the mechanics behavior of composite materials, SHM in composite
structures theory and artificial intelligence algorithms in SHM, including machine learning,
deep learning, and artificial neural networks. The book describes the capability of
Non-Destructive Testing (NDT) techniques for SHM, characteristics of piezoelectric Sensors for
SHM and lamb wave technique based SHM and include case studies of SHM of composite structures
such as composite pipelines, plates, using NDT different methods integrated with artificial
intelligence algorithms.
