Vibration-Based Techniques for Damage Detection and Localization in Engineering Structures

Ali S Nobari, M H Ferri Aliabadi

• Publisher: WSPC (EUROPE)
• Year: 2018
• ISBN:
  9781786344984
• Topic: Technology & Engineering
• Subtopic: Civil Engineering
• Index: Technology & Engineering

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In the oil and gas industries, large companies are endeavoring to find and utilize efficient structural health monitoring methods in order to reduce maintenance costs and time. Through an examination of the vibration-based techniques, this title addresses theoretical, computational and experimental methods used within this trend.

By providing comprehensive and up-to-date coverage of established and emerging processes, this book enables the reader to draw their own conclusions about the field of vibration-controlled damage detection in comparison with other available techniques. The chapters offer a balance between laboratory and practical applications, in addition to detailed case studies, strengths and weakness are drawn from a broad spectrum of information.

--> Contents:

• Machine Learning Algorithms for Damage Detection (Eloi Figueiredo and Adam Santos)
• Data-Driven Methods for Vibration-Based Monitoring Based on the Singular Spectrum Analysis (Irina Trendafilova, David Garcia and Hussein Al-Bugharbee)
• Experimental Investigation of Delamination Effects on Modal Damping of a CFRP Laminate, Using a Statistical Rationalization Approach (Majid Khazaee, Ali Salehzadeh Nobari and M H Ferri Aliabadi)
• Problem of Detecting Damage Through Natural Frequency Changes (Gilbert-Rainer Gillich, Nuno N N Maia and Ion Cornel Mituletu)
• Damage Localization Based on Modal Response Measured with Shearography (J V Araújo dos Santos and H Lopes)
• Novel Techniques for Damage Detection Based on Mode Shape Analysis (Wiesław Ostachowicz, Maciej Radzieński, Maosen Cao and Wei Xu)
• Damage Identification Based on Response Functions in Time and Frequency Domains (R P C Sampaio, T A N Silva, N M M Maia and S Zhong)

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--> Readership: Engineers, technicians, researchers working in the field of vibration-based techniques. -->
Keywords:Structural Health Monitoring;SHM;Vibration-based SHM;Machine Learning;Time Domain Data Analysis;Frequency Domain Data Analysis;Damage IndexReview: Key Features:

• The 1st book to address theoretical, computational and experimental methods
• The book provides an up to date and comprehensive coverage of established and emerging techniques within the field of vibration-controlled damage detection
• Excellent balance between laboratory and practical applications
• Many case studies in various chapters that help the reader to identify weak and strong points of various techniques

Table of contents

• Cover
• Halftitle
• Series Editors
• Title
• Copyright
• Preface
• About the Editors
• Contents
• Chapter 1. Machine Learning Algorithms for Damage Detection
• Chapter 2. Data-Driven Methods for Vibration-Based Monitoring Based on Singular Spectrum Analysis
• Chapter 3. Experimental Investigation of Delamination Effects on Modal Damping of a CFRP Laminate, Using a Statistical Rationalization Approach
• Chapter 4. Problem of Detecting Damage Through Natural Frequency Changes
• Chapter 5. Damage Localization Based on Modal Response Measured with Shearography
• Chapter 6. Novel Techniques for Damage Detection Based on Mode Shape Analysis
• Chapter 7. Damage Identification Based on Response Functions in Time and Frequency Domains
• Index