Springer Identification of Damage Using Lamb Waves: From Fundamentals to Applications: 48 (Lecture Notes in Applied and Computational Mechanics, 48)

This volume describes the fundamentals and techniques necessary for Lamb-wave-based damage identification. This damage assessment method offers efficient structural failure detection which lowers maintenance costs and increases safety benefits. From the Back Cover Lecture Notes in Applied and Computational Mechanics This series aims to report new developments in applied and computational mechanics – quickly, informally and at a high level. This includes the fields of fluid, solid and structural mechanics, dynamics and control, and related disciplines. The applied methods can be of analytical, numerical or computational nature. Identification of Damage Using Lamb Waves Since the early 1990s increased interest in the use of Lamb waves (dynamic stress waves travelling in thin plate/shell structures) for identifying damage in engineering structures has led to significant advances in knowledge and technology. Identification of Damage Using Lamb Waves provides essential know-how for developing Lamb-wave-based damage identification techniques. It addresses fundamentals such as the mechanisms of Lamb wave activation, propagation and acquisition, the selection of transducers and design of active sensor networks, and the development of signal processing for de-noising, compression and feature extraction in the time, frequency and joint time-frequency domains. It also provides detailed descriptions of various signal fusion algorithms for the quantitative determination of damage parameters – location, orientation, size and severity. Other key topics include: • finite element modelling and experimental techniques for Lamb waves; • active sensor network technology using various agents, e.g., piezoelectric actuator/sensor and fibre Bragg grating sensor; • software-hardware systems for implementation of Lamb-wave-based damage identification including Lamb wave signal generation, acquisition and processing; and • representative case studies and diverse engineering applications. About the Author The authors are active researchers in the areas of smart materials and structures. In particular, Prof Ye is an internationally renowned research leader in advanced materials. His major research interests are in the general areas of composites science and technology, intelligent structures, nano-composites, structural integrity and durability. The research team, headed by Prof. Ye, has contributed fruitful achievements to damage identification using active sensor networks. Lin Ye has over 300 scientific publications including 180 refereed papers in leading international journals.