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마이크로 유전알고리즘을 이용한 텐세그리티 모듈의 단면 및 형상 최적화
윤병욱,이재홍,Yoon, Byoung-Wook,Lee, Jae-Hong 대한건축학회 2011 대한건축학회논문집 Vol.27 No.9
This paper proposes size and shape optimization of Tensegrity structures by using micro-genetic algorithm. Tensegrity structures are general pin-jointed systems of discontinuous compressive members(Struts) and continuous tensile members(Cables). Form-finding process has been done before performing optimization of Tensegrity structures. The micro-genetic algorithm are employed for efficient optimum design. The object function for size and shape optimization is weight in all design constraints. The design constraints include stress and strength constraints, and cables and struts are applied as different design constraints. A few Tensegrity structure example is shown to demonstrate the efficiency and robustness of the proposed method.
윤병욱,이재홍,강주원,Yoon, Byoung-Wook,Lee, Jae-Hong,Kang, Joo-Won 大韓建築學會 2014 大韓建築學會論文集 : 構造系 Vol.30 No.8
Tensegrity structures are pre-stressed pin-joint structures inclusive tensile members and compressive members. Form-finding is very important for Tensegrity structures need to determine shape and pre-stress value for self-equilibrium. In the form-finding of tensegrity structures, Infomation are usually introduced for initial geometry and pre-determined member types. In this study, Form-finding of tensegrity structures by using genetic easy and versatile form-finding processing requires only a minimal information 'topology'. Genetic Algorithms was determined the type of members. The form-finding of tensegrity structures are found by a full iteration pocedure until a state of self-stress is obtained.
멀티스테이지 텐세그러티 그리드 구조물의 단면 및 초기인장력의 최적설계
윤병욱,이재홍,Yoon, Byoung-Wook,Lee, Jae-Hong 대한건축학회 2011 대한건축학회논문집 Vol.27 No.10
In this study, micro genetic algorithm is used to find an optimum weight of muti-stage tensegrity grid structures. Tensegrity structures which consist of discontinuous compressive members(Struts) and continuous tensile members(Cables) belong to a general pin-jointed system. Optimum design of tensegrity structure obtained optimum sizes of cross-section and prestressing force parameters, satisfying a set of specified constraints. The present approach is verified by 72-bar truss example showing good agreements with previous results. The minimum weight design of tensegrity structures are performed for various magnitudes of pretension and optimal prestressing forces are also found for various configurations of tensegrity structures.
케이블 돔 구조물의 최적 중량 설계를 위한 단면 및 형상 최적화
윤병욱(Yoon Byoung-wook),이재홍(Lee Jae-Hong) 대한건축학회 2011 대한건축학회 학술발표대회 논문집 - 계획계/구조계 Vol.31 No.2(구조계)
In this study, micro genetic algorithm is used to find optimum cross section and shape of cable dome structures. Maximum deflection, allowable stress and Euler buckling stress are considered as constraints, when weight of the structures are minimum. Optimum design of cable dome structures consists of arriving at optimum sizes of cross-section and geometric coordinate. Optimum shape structures compare with initial shape structures about the total weight and the structural performance. A few cable dome structure example is shown to demonstrate the efficiency and robustness of the proposed method.
마이크로 유전알고리즘을 이용한 텐세그리티 모듈의 단면 및 형상 최적화
윤병욱(Yoon Byoung-Wook),이재홍(Lee Jae-Hong) 대한건축학회 2011 大韓建築學會論文集 : 構造系 Vol.27 No.9
This paper proposes size and shape optimization of Tensegrity structures by using micro-genetic algorithm. Tensegrity structures are general pin-jointed systems of discontinuous compressive members(Struts) and continuous tensile members(Cables). Form-finding prosess has been done before performing optimization of Tensegrity structures. The micro-genetic algorithm are employed for efficient optimum design. The object function for size and shape optimization is weight in all design constraints. The design constraints include stress and strength constraints, and cables and struts are applied as different design constraints. A few Tensegrity structure example is shown to demonstrate the efficiency and robustness of the proposed method.
윤병욱(Yoon, Byoung-Wook),이재홍(Lee, Jae-Hong),강주원(Kang, Joo-Won) 대한건축학회 2014 大韓建築學會論文集 : 構造系 Vol.30 No.8
Tensegrity structures are pre-stressed pin-joint structures inclusive tensile members and compressive members. Form-finding is very important for Tensegrity structures need to determine shape and pre-stress value for self-equilibrium. In the form-finding of tensegrity structures, Infomation are usually introduced for initial geometry and pre-determined member types. In this study, Form-finding of tensegrity structures by using genetic easy and versatile form-finding processing requires only a minimal information "topology". Genetic Algorithms was determined the type of members. The form-finding of tensegrity structures are found by a full iteration pocedure until a state of self-stress is obtained.
멀티스테이지 텐세그러티 그리드 구조물의 단면 및 초기인장력의 최적설계
윤병욱(Yoon, Byoung-Wook),이재홍(Lee, Jae-Hong) 대한건축학회 2011 大韓建築學會論文集 : 構造系 Vol.27 No.10
In this study, micro genetic algorithm is used to find an optimum weight of muti-stage tensegrity grid structures. Tensegrity structures which consist of discontinuous compressive members(Struts) and continuous tensile members(Cables) belong to a general pin-jointed system. Optimum design of tensegrity structure obtained optimum sizes of cross-section and prestressing force parameters, satisfying a set of specified constraints. The present approach is verified by 72-bar truss example showing good agreements with previous results. The minimum weight design of tensegrity structures are performed for various magnitudes of pretension and optimal prestressing forces are also found for various configurations of tensegrity structures.
마이크로 유전 알고리즘을 이용한 트러스 구조물의 단면 및 형상 최적화
김대환,윤병욱,이재홍,Kim, Dae-Hwan,Yoon, Byoung-Wook,Lee, Jae-Hong 한국강구조학회 2011 韓國鋼構造學會 論文集 Vol.23 No.4
본 연구는 마이크로 유전 알고리즘을 이용하여 트러스 구조물의 단면적 및 형상을 최적화 하였다. 구조물의 최소 물량을 얻기 위하여 허용 응력 및 좌굴 응력과 같은 여러 제약조건이 고려되었으며, 이를 통해 트러스 구조물의 최적 설계 시 최적화된 부재의 단면적과 구조물의 좌표를 얻었다. 트러스 구조물의 최적 설계에 적용가능 한 제안된 기법을 이용하여 다양한 예제들을 선정하여 최적화를 수행하였으며, 기존 연구 결과와 비교를 통해 본 마이크로 유전 알고리즘의 효과를 입증하였다. In this study, a microgenetic algorithm was used to find the optimum cross-section and shape of dome structures. The allowable stress and Euler buckling stress were considered constraints when the weight of the trusses was minimum. The design optimization of the truss structures involved arriving at the optimum sizes of the cross-section and geometric coordinate. The features of the proposed method, which helped in the modeling of and application to the optimal design of truss structures, were demonstrated using the microgenetic algorithm, by solving sample problems.