Computational Techniques for Damage Detection, Classification and Quantification

Srinivasan Gopalakrishnan (), Massimo Ruzzene () and Sathyanarayana Hanagud ()
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Srinivasan Gopalakrishnan: Indian Institute of Science
Massimo Ruzzene: Georgia Institute of Technology
Sathyanarayana Hanagud: Georgia Institute of Technology

Chapter Chapter 10 in Computational Techniques for Structural Health Monitoring, 2011, pp 407-461 from Springer

Abstract: Abstract This chapter presents an overview of techniques used to analyze the dynamic response of structures with the objective of detecting, locating and quantifying structural damage. A quick summary of vibration-based techniques is first provided as an introduction to the strainᾢenergy ratio technique. The ability of the strain energy ratio to locate damage and potentially estimate its severity is illustrated through numerical simulations and experimental results on beams and plates. The extension of the concept to the analysis of the wave propagation response is also presented to demonstrate the generality of the approach. Wave-based techniques for the detection and quantification of damage also include the phase gradient technique, and the mode conversion estimation, which are also presented. The chapter concludes with the detailed presentation of the damage force indicator technique as yet another method for damage localization.

Keywords: Mode Shape; Damage Detection; Damage Index; Damage Location; Lamb Wave (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-0-85729-284-1_10

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DOI: 10.1007/978-0-85729-284-1_10

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