Discrete Optimum Design of Semi-rigid Steel Frames Using Refined Plastic Hinge Analysis and Genetic Algorithm

개선소성힌지해석과 유전자 알고리즘을 이용한 반강접 강골조의 이산최적설계

  • 이말숙 (경북대학교 대학원 건축공학부) ;
  • 윤영묵 (경북대학교 토목공학과) ;
  • 강문명 (경북대학교 건축공학과)
  • Received : 2003.11.12
  • Accepted : 2003.12.18
  • Published : 2004.04.27

Abstract

A GA-based optimum design algorithm and a program for plane steel frame structures with semi-rigid connections are presented. The algorithm is incorporated with the refined plastic hinge analysis method wherein geometric nonlinearity is considered by using the stability functions of beam-column members, and material nonlinearity, by using the gradual stiffness degradation model that includes the effects of residual stresses, moment redistribution through the occurrence of plastic hinges, semi-rigid connections, and geometric imperfection of members. In the genetic algorithm, the tournament selection method and micro-GAs are employed. The fitness function for the genetic algorithm is expressed as an unconstrained function composed of objective and penalty functions. The objective and penalty functions are expressed as the weight of steel frames and the constraint functions, respectively. In particular, the constraint functions fulfill the requirements of load-carrying capacity, serviceability, ductility, and construction workability. To verify the appropriateness of the present method, the optimal design results of two plane steel frames with rigid and semi-rigid connections are compared.

본 논문에서는 유전자 알고리즘과 보-기둥 접합부, 부재, 그리고 구조물 전체의 재료 및 기하학적 비선형 거동을 고려할 수 있는 개선소성힌지해석 방법을 접목시킨 평면 반강접 강골조 구조물의 최적설계법을 제안하였다. 개선소성힌지해석에서는 강골조 구조물의 기하학적 비선형성을 고려하기 위해 보-기둥 요소의 안정함수를 사용하였으며, 재료적 비선형성을 고려하기 위해 잔류응력, 소성힌지, 반강접 접합부 그리고 기하학적 불완전성 등에 의한 점진적인 강성감소모델을 사용하였다. 최적설계시 마이크로 유전자 알고리즘과 재생산을 위한 개체 선택 도구로 토너먼트 선택방법을 사용하였으며, 적합도 함수는 목적함수 및 벌칙함수로 나타낸 무제약 함수값의 조합으로 구성하였다. 목적함수로는 구조물의 중량을, 제약조건으로는 하중-저항능력, 사용성, 연성도, 그리고 시공성에 관한 기준을 사용하였다. 강접 및 반강접 접합부를 갖는 강골조 구조물의 최적설계결과의 비교를 통해 본 연구에서 제시한 방법의 적합성을 검증하였다.

Keywords

Acknowledgement

Supported by : 한국과학재단

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