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Vibration-based Techniques For Damage Detection And Localization In Engineering Structures [Kõva köide]

Edited by (Imperial College London, Uk), Edited by (Imperial College London, Uk & Amirkabir Univ Of Technology, Iran)
Teised raamatud teemal:
Teised raamatud teemal:
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.
Preface v
About the Editors vii
Chapter 1 Machine Learning Algorithms for Damage Detection
1(40)
Eloi Figueiredo
Adam Santos
Chapter 2 Data-Driven Methods for Vibration-Based Monitoring Based on Singular Spectrum Analysis
41(34)
Irina Trendafilova
David Garcia
Hussein Al-Bugharbee
Chapter 3 Experimental Investigation of Delamination Effects on Modal Damping of a CFRP Laminate, Using a Statistical Rationalization Approach
75(30)
Majid Khazaee
Ali Salehzadeh Nobari
M. H. Ferri Aliabadi
Chapter 4 Problem of Detecting Damage Through Natural Frequency Changes
105(36)
Gilbert-Rainer Gillich
Nuno N. N. Maia
Ion Cornel Mituletu
Chapter 5 Damage Localization Based on Modal Response Measured with Shearography
141(32)
J. V. Araujo dos Santos
H. Lopes
Chapter 6 Novel Techniques for Damage Detection Based on Mode Shape Analysis
173(24)
Wieslaw Ostachowicz
Maciej Radzienski
Maosen Cao
Wei Xu
Chapter 7 Damage Identification Based on Response Functions in Time and Frequency Domains
197(40)
R. P. C. Sampaio
T. A. N. Silva
N. M. M. Maia
S. Zhong
Index 237