Use of Soft Computing Tools for Damage Detection

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 11 in Computational Techniques for Structural Health Monitoring, 2011, pp 463-493 from Springer

Abstract: Abstract This chapter gives an overview on the use of soft computing tools for damage detection in SHM. Here, two important soft computing tools, namely the genetic algorithms and the artificial neural network are addressed in regard to damage detection. Implementation of these methods under spectral finite element environment is discussed. The chapter first gives basic introduction to these methods and outlines the procedure for adaptation under spectral FEM environment. A number of examples are given to show the effectiveness of these methods for damage detection.

Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-0-85729-284-1_11

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DOI: 10.1007/978-0-85729-284-1_11

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