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Identification of Damage Using Lamb Waves

From Fundamentals to Applications

  • Book
  • © 2009

Overview

Authors:
  1. Zhongqing Su

    1. Department of Mechanical Engineering, The Hong Kong Polytechnic University Hung Hom, Kowloon , Hong Kong

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    You can also search for this author in PubMed   Google Scholar

  2. Lin Ye

    1. School of Aerospace, Mechanical & Mechatronic Engineering Centre for Advanced Materials Technology, The University of Sydney , Australia

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Demonstrates a novel method of assessing damage to important structural components
  • Potential reliability and safety benefits for vehicles built with thin plate or shell structures such as cars and aeroplanes
  • More effective structural damage identification leads to lower maintenance costs

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

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Table of contents (9 chapters)

  1. Front Matter

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  2. Introduction

    • Zhongqing Su, Lin Ye
    Pages 1-14

  3. Fundamentals and Analysis of Lamb Waves

    • Zhongqing Su, Lin Ye
    Pages 15-58

  4. Activating and Receiving Lamb Waves

    • Zhongqing Su, Lin Ye
    Pages 59-98

  5. Sensors and Sensor Networks

    • Zhongqing Su, Lin Ye
    Pages 99-142

  6. Processing of Lamb Wave Signals

    • Zhongqing Su, Lin Ye
    Pages 143-193

  7. Algorithms for Damage Identification – Fusion of Signal Features

    • Zhongqing Su, Lin Ye
    Pages 195-254

  8. Application of Algorithms for Identifying Structural Damage – Case Studies

    • Zhongqing Su, Lin Ye
    Pages 255-297

  9. Systems and Engineering Applications

    • Zhongqing Su, Lin Ye
    Pages 299-328

  10. Looking Forward

    • Zhongqing Su, Lin Ye
    Pages 329-340

  11. Back Matter

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Keywords

About this book

Lamb waves are guided waves that propagate in thin plate or shell structures. There has been a clear increase of interest in using Lamb waves for identifying structural damage, entailing intensive research and development in this field over the past two decades. Now on the verge of maturity for diverse engineering applications, this emerging technique serves as an encouraging candidate for facilitating continuous and automated surveillance of the integrity of engineering structures in a cost-effective manner. In comparison with conventional nondestructive evaluation techniques such as ultrasonic scanning and radiography which have been well developed over half a century, damage identification using Lamb waves is in a stage of burgeoning development, presenting a number of technical challenges in application that need to be addressed and circumvented. It is these two aspects that have encouraged us to write this book, with the intention of consolidating the knowledge and know-how in the field of Lamb-wave-based damage identification, and of promoting widespread attention to mature application of this technique in the practical engineering sphere. This book provides a comprehensive description of key facets of damage identification technique using Lamb waves, based on the authors’ knowledge, comprehension and experience, ranging from fundamental theory through case studies to engineering applications.

Authors and Affiliations

  • Department of Mechanical Engineering, The Hong Kong Polytechnic University Hung Hom, Kowloon , Hong Kong

    Zhongqing Su

  • School of Aerospace, Mechanical & Mechatronic Engineering Centre for Advanced Materials Technology, The University of Sydney , Australia

    Lin Ye

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.

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