Sensor Technologies for Civil Infrastructures

1st Edition

Applications in Structural Health Monitoring

Editors: Ming L. Wang Jerome P. Lynch Hoon Sohn
Hardcover ISBN: 9781782422426
eBook ISBN: 9781782422433
Imprint: Woodhead Publishing
Published Date: 15th May 2014
Page Count: 738
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Table of Contents

  • Contributor contact details
  • Woodhead Publishing Series in Electronic and Optical Materials
  • Preface
  • Part I: Sensor data interrogation and decision making

    • 1. Sensor data management technologies for infrastructure asset management

      • Abstract:
      • 1.1 Introduction
      • 1.2 Sensor level data processing and management
      • 1.3 In-network data communication and management
      • 1.4 Persistent data management and retrieval
      • 1.5 Conclusion and future trends
      • 1.6 Acknowledgements
      • 1.7 References
    • 2. Sensor data analysis, reduction and fusion for assessing and monitoring civil infrastructures

      • Abstract:
      • 2.1 Introduction
      • 2.2 Bayesian inference and monitoring data analysis
      • 2.3 Data reduction
      • 2.4 Data fusion
      • 2.5 Further trends
      • 2.6 Sources of further information and advice
      • 2.7 Acknowledgements
      • 2.8 References
    • 3. Analytical techniques for damage detection and localization for assessing and monitoring civil infrastructures

      • Abstract:
      • 3.1 Introduction
      • 3.2 Linear time invariant systems
      • 3.3 Modal form
      • 3.4 Relation between the complex and the normal mode models
      • 3.5 Damage detection
      • 3.6 Damage localization
      • 3.7 Future trends
      • 3.8 Sources of further information and advice
      • 3.9 References
    • 4. Output only modal identification and structural damage detection using timefrequency and wavelet techniques for assessing and monitoring civil infrastructures

      • Abstract:
      • 4.1 Introduction
      • 4.2 Time-frequency (TF) methods: STFT, EMD and HT
      • 4.3 Modal identification of linear time invariant (LTI) and linear time variant (LTV) systems using EMD/HT and STFT
      • 4.4 Modal identification of LTI and LTV systems using wavelets
      • 4.5 Experimental and numeri


Sensors are used for civil infrastructure performance assessment and health monitoring, and have evolved significantly through developments in materials and methodologies. Sensor Technologies for Civil Infrastructure Volume II provides an overview of sensor data analysis and case studies in assessing and monitoring civil infrastructures.

Part one focuses on sensor data interrogation and decision making, with chapters on data management technologies, data analysis, techniques for damage detection and structural damage detection. Part two is made up of case studies in assessing and monitoring specific structures such as bridges, towers, buildings, dams, tunnels, pipelines, and roads.

Sensor Technologies for Civil Infrastructure provides a standard reference for structural and civil engineers, electronics engineers, and academics with an interest in the field.

Key Features

  • Provides an in-depth examination of sensor data management and analytical techniques for fault detection and localization, looking at prognosis and life-cycle assessment
  • Includes case studies in assessing structures such as bridges, buildings, super-tall towers, dams, tunnels, wind turbines, railroad tracks, nuclear power plants, offshore structures, levees, and pipelines


Practitioners, researchers, and government officials in the fields of civil engineering, structural engineering, bridge design, bridge inspection, and infrastructure maintenance; Civil, structural, and geotechnical engineers and professionals interested in SHM in the domains of safety, maintenance, design or construction of infrastructure; Researchers and professors of civil engineering whose area is SHM, or use SHM as a tool in their research


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© Woodhead Publishing 2014
Woodhead Publishing
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About the Editors

Ming L. Wang Editor

Distinguished Professor, Civil and Environmental Engineering, Northeastern University, USA.

Affiliations and Expertise

Northeastern University, USA

Jerome P. Lynch Editor

Associate Professor, Department of Civil and Environmental Engineering, University of Michigan, USA

Affiliations and Expertise

University of Michigan, USA

Hoon Sohn Editor

Professor Hoon Sohn, Korea Advanced Institute of Science and Technology, Korea.

Affiliations and Expertise

Korea Advanced Institute of Science and Technology, Korea