Application of genetic algorithms in ground motion selection for seismic analysis

Alireza Azarbakht, Mehdi Mousavi

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Nonlinear response-history analysis is becoming more common in the seismic analysis of structures. How to select a limited number of ground motion records is an important challenge for the response-history analysis of structures since this kind of analysis is usually time consuming. The main aim of this chapter is to explain the use of a genetic algorithm (GA) as an efficient technique in ground motion record selection. Following a brief introduction to the structural nonlinear response-history analysis, the code-conforming ground motion selection and the record selection in the performance-based earthquake engineering framework are discussed as two practical approaches in detail. The application of GA in these two approaches is explained with two simple examples.
Original languageEnglish
Title of host publicationMetaheuristic Applications in Structures and Infrastructures
EditorsAmir Hossein Gandomi, Xin-She Yang, Siamak Talatahari, Amir Hossein Alavi
Place of PublicationLondon
Chapter13
Pages319-344
Number of pages26
DOIs
Publication statusPublished - 1 Feb 2013

Fingerprint

Genetic algorithms
Earthquake engineering

Keywords

  • structural analysis
  • ground motion selection
  • genetic alogrithm
  • matching

Cite this

Azarbakht, A., & Mousavi, M. (2013). Application of genetic algorithms in ground motion selection for seismic analysis. In A. H. Gandomi, X-S. Yang, S. Talatahari, & A. H. Alavi (Eds.), Metaheuristic Applications in Structures and Infrastructures (pp. 319-344). London. https://doi.org/10.1016/B978-0-12-398364-0.00013-9
Azarbakht, Alireza ; Mousavi, Mehdi. / Application of genetic algorithms in ground motion selection for seismic analysis. Metaheuristic Applications in Structures and Infrastructures. editor / Amir Hossein Gandomi ; Xin-She Yang ; Siamak Talatahari ; Amir Hossein Alavi. London, 2013. pp. 319-344
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Azarbakht, A & Mousavi, M 2013, Application of genetic algorithms in ground motion selection for seismic analysis. in AH Gandomi, X-S Yang, S Talatahari & AH Alavi (eds), Metaheuristic Applications in Structures and Infrastructures. London, pp. 319-344. https://doi.org/10.1016/B978-0-12-398364-0.00013-9

Application of genetic algorithms in ground motion selection for seismic analysis. / Azarbakht, Alireza; Mousavi, Mehdi.

Metaheuristic Applications in Structures and Infrastructures. ed. / Amir Hossein Gandomi; Xin-She Yang; Siamak Talatahari; Amir Hossein Alavi. London, 2013. p. 319-344.

Research output: Chapter in Book/Report/Conference proceedingChapter

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AB - Nonlinear response-history analysis is becoming more common in the seismic analysis of structures. How to select a limited number of ground motion records is an important challenge for the response-history analysis of structures since this kind of analysis is usually time consuming. The main aim of this chapter is to explain the use of a genetic algorithm (GA) as an efficient technique in ground motion record selection. Following a brief introduction to the structural nonlinear response-history analysis, the code-conforming ground motion selection and the record selection in the performance-based earthquake engineering framework are discussed as two practical approaches in detail. The application of GA in these two approaches is explained with two simple examples.

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Azarbakht A, Mousavi M. Application of genetic algorithms in ground motion selection for seismic analysis. In Gandomi AH, Yang X-S, Talatahari S, Alavi AH, editors, Metaheuristic Applications in Structures and Infrastructures. London. 2013. p. 319-344 https://doi.org/10.1016/B978-0-12-398364-0.00013-9