© 2009

Identification of Damage Using Lamb Waves

From Fundamentals to Applications


Part of the Lecture Notes in Applied and Computational Mechanics book series (LNACM, volume 48)

Table of contents

  1. Front Matter
  2. Zhongqing Su, Lin Ye
    Pages 1-14
  3. Zhongqing Su, Lin Ye
    Pages 15-58
  4. Zhongqing Su, Lin Ye
    Pages 59-98
  5. Zhongqing Su, Lin Ye
    Pages 99-142
  6. Zhongqing Su, Lin Ye
    Pages 143-193
  7. Zhongqing Su, Lin Ye
    Pages 299-328
  8. Zhongqing Su, Lin Ye
    Pages 329-340
  9. Back Matter

About this book


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.


Damage Identifications Lamb Wave Sensor Network Technology Signal Processing Structural Health Wave modeling

Authors and affiliations

  1. 1.Department of Mechanical EngineeringThe Hong Kong Polytechnic University Hung Hom, Kowloon Hong Kong
  2. 2.School of Aerospace, Mechanical & Mechatronic Engineering Centre for Advanced Materials TechnologyThe University of Sydney Australia

About the authors

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.

Bibliographic information

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