Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Introduction Read chapter Read first chapter

2011 | OriginalPaper | Chapter

11. Use of Soft Computing Tools for Damage Detection

Authors : Srinivasan Gopalakrishnan, Massimo Ruzzene, Prof. Sathyanarayana Hanagud

Published in: Computational Techniques for Structural Health Monitoring

Publisher: Springer London

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

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.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Computational Techniques for Damage Detection, Classification and Quantification
Literature
1.
Alander JT (1999) Population size, building blocks, fitness landscape and genetic algorithm search efficiency in combinatorial optimization: an empirical study. In: Chambers LD (eds) Practical handbook of genetic algorithms: complex coding systems, Chapter 13. CRC Press, New york
2.
Gao F, Shen Y, Li L (2000) The optimal design of piezoelectric actuator for plate vibroacoustic control using genetic algorithms with immune diversity. Smart Mater Struct 9:485ᾢ491CrossRef
3.
Gen M, Cheng R (1997) Genetic algorithms and engineering design. Wiley, New York
4.
Goldberg DE (1989) Genetic algorithm in search, optimization, and machine learning. Addison-Wesley Publishing Company, Inc., Reading
5.
Haykins S (2001) Neural networks: a comprehensive review. Pearson Educational Asia, Singapore (reprint)
6.
Langley RS (1990) Analysis of power flow in beams and frameworks using the direct dynamic stiffness method. J Sound Vib 136(3):439ᾢ452MathSciNetCrossRef
7.
Roy Mahapatra D (2003) Development of spectral finite element models for wave propagation studies, health monitoring and active control of waves in laminated composite structures. PhD Thesis, Indian Institute of Science, Bangalore, India
8.
Rumelhart DE, Hinton GE, Williams RJ (1986) Learning representations of back-propagation errors. Nature 323:533ᾢ536CrossRef
9.
Srinivas N, Deb K (1993) Multiobjective optimization using non-dominated sorting in genetic algorithm. Technical Report, Department of Mechanical Engineering, Indian Institute of Technology-Kanpur, India
10.
Xu YG, Liu GR, Wum ZP, Huang XM (2001) Adaptive multilayer perceptron network for detection of cracks in anisotropic laminated plates. Int J Solids Struct 38:5625ᾢ5645MATHCrossRef
Metadata
Title
Use of Soft Computing Tools for Damage Detection
Authors
Srinivasan Gopalakrishnan
Massimo Ruzzene
Prof. Sathyanarayana Hanagud
Copyright Year
2011
Publisher
Springer London
Book
Computational Techniques for Structural Health Monitoring

Print ISBN: 978-0-85729-283-4

Electronic ISBN: 978-0-85729-284-1

Copyright Year: 2011

DOI
https://doi.org/10.1007/978-0-85729-284-1_11

Premium Partner

    Image Credits