Structural Engineering and Mechanics

  • 제17권5호
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  • Pages.707-725
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  • 2004
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Optimal design using genetic algorithm with nonlinear elastic analysis

  • Kim, Seung-Eock (Civil & Environmental Engineering, Construction Tech. Research Institute, Sejong University) ;
  • Song, Weon-Keun (Korea Infrastructure Safety and Technology Corporation) ;
  • Ma, Sang-Soo (Korea Infrastructure Safety and Technology Corporation)
  • 투고 : 2003.01.23
  • 심사 : 2003.12.18
  • 발행 : 2004.05.25
⟨ 이전 논문 다음 논문 ⟩

초록

An optimal design method with nonlinear elastic analysis is presented. The proposed nonlinear elastic method overcomes the drawback of the conventional LRFD method that accounts for nonlinear effect by using the moment amplification factors of $B_1$ and $B_2$. The genetic algorithm used is a procedure based on Darwinian notions of survival of the fittest, where selection, crossover, and mutation operators are employed to look for high performance ones among sections in the database. They are satisfied with the constraint functions and give the lightest weight to the structure. The objective function taken is the total weight of the steel structure and the constraint functions are strength, serviceability, and ductility requirement. Case studies of a planar portal frame, a space two-story frame, and a three-dimensional steel arch bridge are presented.

키워드

참고문헌

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피인용 문헌

  1. Discrete optimization of trusses using an artificial bee colony (ABC) algorithm and the fly-back mechanism vol.44, pp.4, 2012, https://doi.org/10.12989/sem.2012.44.4.501