Proceedings of the Computational Structural Engineering Institute Conference (한국전산구조공학회:학술대회논문집)

Computational Structural Engineering Institute of Korea (한국전산구조공학회)
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An Application of Micro-GA for the Design Optimization of Steel Box Girder Bridges

강상형교 설계최적화를 위한 마이크로 유전알고리즘의 적용

  • 김제헌 (농업기반공사 농어촌연구원) ;
  • 류연선 (부경대학교 해양공학과) ;
  • 김정태 (부경대학교 해양공학과) ;
  • 조현만 (부경대학교 해양공학과)
  • Published : 2001.04.01
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Abstract

A procedure of the design optimization for steel box girder bridges using micro genetic algorithms(μGA) is developed. The effect of population size is investigated and the efficiency and reliability of μGA is demonstrated in the optimum design of steel box girder bridges. Optimum design problems of steel box girder bridges are formulated, where tile design of concrete slab is based on the USD specifications and steel box girder based on LRFD respectively. Design of optimizations of single-span and 2-span steel box girder bridges are performed with the population size of 5, 40, 80, and 120, respectively The μGA-based optimum design of the 3-span steel box girder bridge is compared with SQP results.

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