Book Description:
Structural Health Monitoring (SHM) is defined as the use of on-structure sensing system to monitor the performance of the structure and evaluate its health state. Recent bridge failures, such as the collapses of the 1-35W Highway Bridge in USA, the collapse of the Can Tho Bridge in Vietnam and the Xijiang River Bridge in the Mainland China, all of which happened in the year 2007, have alerted the importance of structural health monitoring. This book presents a background of SHM technologies together with its latest development and successful applications. It is a book launched to celebrate the establishment of the Australian Network of Structural Health Monitoring (ANSHM). The network comprising leading SHM experts in Australia promotes and advances SHM research, application, education and development in Australia.

Table of Contents:
Foreword
(Ross Pritchard, (Structures), Department of Transport and Main Roads, Queensland, Australia)

Preface
(Tommy H.T. Chan and D.P. Thambiratnam)

Chapter 1. Structural Health Monitoring for Long Span Bridges – Hong Kong Experience and Continuing onto Australia;pp. 1-32
(Tommy H.T. Chan, K.Y. Wong, Z.X. Li, Y.Q. Ni, Queensland University of Technology, Australia and others)

Chapter 2. Damage Localisation in Beams and Plates Using Vibration Characteristics;pp. 33-53
(H.W. Shin, David P. Thambiratnam and Tommy H.T. Chan)

Chapter 3. Use of Acoustic Emission Technique for Structural Health Monitoring of Bridges;pp. 55-80
(Manindra Kaphle, Andy Tan, David Thambiratnam and Tommy H.T. Chan)

Chapter 4. Structural Health Monitoring in Western Australia - From Research to Application;pp. 81-115
(Hong Hao, University of Western Australia, Crawley)

Chapter 5. Vibration-Based Damage Detection for Timber Structure in Australia;pp. 117-144
(Bijan Samali, J. Li, U. Dackermann and F. C. Choi, University of Technology, Sydney, Australia)

Chapter 6. Civionics - A Merging Interdisciplinary Research in Australia;pp. 145-176
(Brian Uy, Xinqun Zhu, Yang Xiang, et al.)

Chapter 7. Structural Reliability Analysis and Service Life Prediction For Structural Health Monitoring;pp. 177-199
(Mark Stewart and Hong Hao, The University of Newcastle, Callaghan,NSW, Austalia and others)

Chapter 8. Improving The Reliability of a Bridge Deterioration Model for a Decision Support System using Artificial Intelligence;pp.201-223
(Jaeho Lee, Hong Guan, Michael Blumenstein and Yew-Chaye Loo, Griffith School of Engineering, Griffith University)

Index pp.225-229