Recent Advances in Structural Health Monitoring Research in Australia

$230.00$362.00

Hong Guan (Editor) – Professor, Griffith University, Research Theme Leader of Building Science and Construction Innovation, Australia
Tommy H. T. Chan (Editor) – Professor, Queensland University of Technology, Founding Chair and President, Australian Network of Structural Health Monitoring, Australia
Jianchun Li (Editor) – Professor, University of Technology Sydney, Head of Discipline, Structural & Materials Engineering, Director, CBIR – Centre for Built Infrastructure Research, Australia

Series: Civil Engineering and Architecture
BISAC: TEC063000; TEC009160
DOI: https://doi.org/10.52305/QHVI3457

Structural Health Monitoring (SHM), a process of utilising on-structure or remote sensing systems and/or imaging techniques to monitor the performance of structures and evaluate their health conditions, has rapidly grown worldwide on its research and industrial practices in recent years. Recent disastrous bridge failures, such as the collapses of the Nanfang’ao tied-arch bridge in Taiwan, the Wuxi National Highway 312 overpass in China, and the Pont de Mirepoix suspension bridge in France, all in the year 2019, and the Mexico City Metro overpass collapse in 2021, have further reminded us of the importance of structural health monitoring for civil infrastructures. During the last three decades, SHM has attracted enormous research efforts around the world because it targets on monitoring structural conditions to prevent catastrophic failure and to provide quantitative data for engineers and infrastructure owners to design reliable and economical asset management plans.

This book showcases the recent advancement in SHM research, especially for civil engineering applications in Australia, covering the state-of-the-art SHM technologies together with its latest developments and successful applications. The book provides a glance on the research outcomes in SHM-related areas delivered by some of the experts in Australian universities.

This book is launched to mark the significant milestone of the 10th Anniversary of Australian Network of Structural Health Monitoring (ANSHM) and its contribution to the SHM research and practice over the past 12 years since its inception in 2009. The preparation of this book for an intended completion in 2020 was significantly delayed due to the impact of the COVID-19 pandemic. The Network, comprising leading Australian SHM experts, aims to promote and advance SHM application, education, research and development in Australia. Although the title of the book highlights recent SHM advances in Australia, the technologies and approaches described can be applied around the world.

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Table of Contents

Foreword

Preface

Chapter 1. Damage Detection and Model Updating of Civil Engineering Structures
Tommy H. T. Chan, David P. Thambiratnam and Khac-Duy Nguyen
Queensland University of Technology (QUT), Brisbane, Australia

Chapter 2. Effective Sensitivity-Based Model Updating of Cable-Stayed Bridges Considering Monitoring Data Variability
Thomas Sharry¹, Hong Guan¹, Andy Nguyen², Erwin Oh¹ and Nam Hoang³
¹School of Engineering and Built Environment, Griffith University, Queensland, Australia
²School of Civil Engineering and Surveying, University of Southern Queensland, Queensland, Australia
³Department of Civil Engineering, University of Management and Technology, Ho Chi Minh City, Vietnam

Chapter 3. Drive-by Bridge Structural Health Monitoring: A Case Study on Modal Identification Using a Mobile Sensory System
Jiantao Li¹’², Xinqun Zhu², Bing Zhang² and Bijan Samali³
¹School of Civil Engineering, Zhejiang University of Technology, Hangzhou, China
²School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, Australia
³School of Engineering, Design and Built Environment, Western Sydney University, Sydney, Australia

Chapter 4. Damage Detection of Partially Immersed Plates Using Guided Waves
X. Hu¹, C. T. Ng¹ and A. Kotousov²
¹School of Civil, Environmental & Mining Engineering, The University of Adelaide, Adelaide, Australia
²School of Mechanical Engineering, The University of Adelaide, Adelaide, Australia

Chapter 5. Classification for Images of Corroded Steel by Image Processing Technology
Rina Hasuike, Koji Kinoshita² and Lei Hou³
Department of Construction and Environmental Engineering, Yamaguchi University, Ube, Japan
²Department of Civil Engineering, Gifu University, Gifu, Japan
³School of Civil Engineering, RMIT University, Melbourne, Australia

Chapter 6. Data-Driven Structural Health Monitoring Based on Deep Learning Techniques
Jun Li¹, Ruhua Wang¹, Hong Hao¹ and Ling Li²
¹Centre for Infrastructural Monitoring and Protection, School of Civil and Mechanical Engineering, Curtin University, Kent Street, Bentley, Western Australia 6102, Australia
²School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Kent Street, Bentley, Western Australia 6102, Australia

Chapter 7. Robustness of Deep Transfer Learning-Based Crack Detection Against Uncertainty in Hyperparameter Tuning and Input Data
Andy Nguyen¹, Riccardo R. Chianese¹, Vahid R. Gharehbaghi¹, Ruveen Perera¹, Tobias Low¹, Thiru Aravinthan¹, Yang Yu², Bijan Samali², Hong Guan³, Tung Khuc4 and Thach N. Le4
¹University of Southern Queensland, Queensland, Australia
²Western Sydney University, New South Wales, Australia
³Griffith University, Queensland, Australia
4Hanoi University of Civil Engineering, Hanoi, Vietnam

Chapter 8. Smart Automated Fault Detection for Improved Road Maintenance Planning in Australia
Jacob Brisolin¹, Andy Nguyen¹, Fahim Ullah¹, Allan Bourke¹, Tung Khuc² and Vivien Nsanabo³
¹University of Southern Queensland, Queensland, Australia
²Hanoi University of Civil Engineering, Hanoi, Vietnam
³Brisbane City Council, Queensland, Australia

Chapter 9. Applications of Non-Destructive Damage Evaluation and Structural Health Monitoring in Railway Track Maintenance
Ralph Zhang, Helen Wu and Richard (Chunhui) Yang
-School of Engineering, Design and Built Environment, Western Sydney University, Penrith, NSW 2751, Australia

Chapter 10. Risk Management and Prioritisation of Rail Service Failures in Railway Track Maintenance
Ralph Zhang, Helen Wu and Richard (Chunhui) Yang
-School of Engineering, Design and Built Environment, Western Sydney University, Penrith, NSW 2751, Australia

Chapter 11. Digital Twin Approach for Lifecycle Management of Large-Scale Civil Infrastructure
Tuan-Cuong Nguyen, Tuan Ngoc Nguyen, Dac-Khuong Bui and Tuan Duc Ngo
-Department of Infrastructure Engineering, The University of Melbourne, Parkville, Victoria, Australia

Index


Editor’s ORCID iD

Hong Guanhttps://orcid.org/0000-0001-5053-5052
Tommy H. T. Chan https://orcid.org/0000-0002-5410-8362
Jianchun Lihttps://orcid.org/0000-0002-2526-3048