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엄영섭(Young-Sop Eom),유광선(Kwang-Sun Yoo),김동연(Dong-Yeon Kim),박재용(Jae-Yong Park),한석영(Seog-Young Han) 한국생산제조학회 2010 한국생산제조시스템학회 학술발표대회 논문집 Vol.2010 No.10
In this paper, reliability-based topology optimization (RBTO) for 3-D structures was performed by using bi-directional evolutionary structural optimization (BESO) and standard response surface method (SRSM). In order to get stable optimal topology, the latest developed filter scheme was implemented to BESO, and SRSM was used to generate an approximate limit state function. These results were compared with recently announced results of RBTO for the 2-D structures, and the differences between the results of 3-D and 2-D structures are considered. Cantilever beam and MBB beam were selected as numerical examples. From performing RBTO, it is found that the optimal topologies of DTO and RBTO for 2-D and 3-D MBB beams are obtained very differently. Especially, two-support member at the left hand side comes into being in the width direction. Therefore, it is known that RBTO for 3-D structures is necessary to be performed.
엄영섭(Young-Sop Eom),유광선(Kwang-Sun Yoo),김동연(Dong-Yeon Kim),박재용(Jae-Yong Park),한석영(Seog-Young Han) 한국생산제조학회 2010 한국생산제조시스템학회 학술발표대회 논문집 Vol.2010 No.10
In this paper, bee colony algorithm and finite element analysis are adopted for topology optimization of structural models undergoing large deformations. The objective is to obtain the stiffest structure with a certain amount of material, based on each element's contribution to the strain energy. Newton-Raphson method is used to calculate nonlinear problem. In order to prevent checkerboard pattern in the resulted optimum layout, the latest developed filter scheme is implemented. Cantilever beam was elected as numerical example. After solving example, it is found that the effectiveness and applicability of the proposed algorithm. The bee colony algorithm is well able to handle nonlinear topology optimization problems.
엄영섭(Young-Sop Eom),유광선(Kwang-Sun Yoo),김동연(Dong-Yeon Kim),박재용(Jae-Yong Park),한석영(Seog-Young Han) 한국생산제조학회 2010 한국공작기계학회 추계학술대회논문집 Vol.2010 No.-
In this paper, bee colony algorithm and finite element analysis are adopted for topology optimization of structural models undergoing large deformations. The objective is to obtain the stiffest structure with a certain amount of material, based on each element's contribution to the strain energy. Newton-Raphson method is used to calculate nonlinear problem. In order to prevent checkerboard pattern in the resulted optimum layout, the latest developed filter scheme is implemented. Cantilever beam was elected as numerical example. After solving example, it is found that the effectiveness and applicability of the proposed algorithm. The bee colony algorithm is well able to handle nonlinear topology optimization problems.
엄영섭(Young-Sop Eom),유광선(Kwang-Sun Yoo),박재용(Jae-Yong Park),한석영(Seog-Young Han) 한국생산제조학회 2009 한국생산제조시스템학회 학술발표대회 논문집 Vol.2009 No.5
It is important to represent limit state function in reliability-based design optimization. Since it is very difficult to explicitly represent a limit state function in topology optimization, it is necessary to make the limit state function an approximate function. In case of implementing RSM, the limit state function can easily approximated. In this study, the limit state function of structures was approximated using ADAPRES to obtain the effective response surface modeling as reducing the experiment points. From the result of carrying out the BESO using the ADAPRES, it is concluded that the ADAPRES can be applied to RETO and is more effective than RSM in computing cost.
엄영섭(Young-Sop Eom),유광선(Kwang-Sun Yoo),김동연(Dong-Yeon Kim),박재용(Jae-Yong Park),한석영(Seog-Young Han) 한국생산제조학회 2010 한국공작기계학회 추계학술대회논문집 Vol.2010 No.-
In this paper, bee colony algorithm and finite element analysis are adopted for topology optimization of structural models in the first attempt. The objective is to obtain the stiffest structure with a certain amount of material, based on each element's contribution to the strain energy. In order to prevent checkerboard pattern in the resulted optimum layout, a filter scheme is implemented. A few examples of 2D structural models are provided to examine the effectiveness and applicability of the proposed algorithm. The bee colony algorithm is well able to handle topology optimization problems.
엄영섭(Young-Sop Eom),유광선(Kwang-Sun Yoo),김동연(Dong-Yeon Kim),박재용(Jae-Yong Park),한석영(Seog-Young Han) 한국생산제조학회 2010 한국공작기계학회 추계학술대회논문집 Vol.2010 No.-
In this paper, reliability-based topology optimization (RBTO) for 3-D structures was performed by using bi-directional evolutionary structural optimization (BESO) and standard response surface method (SRSM). In order to get stable optimal topology, the latest developed filter scheme was implemented to BESO, and SRSM was used to generate an approximate limit state function. These results were compared with recently announced results of RBTO for the 2-D structures, and the differences between the results of 3-D and 2-D structures are considered. Cantilever beam and MBB beam were selected as numerical examples. From performing RBTO, it is found that the optimal topologies of DTO and RBTO for 2-D and 3-D MBB beams are obtained very differently. Especially, two-support member at the left hand side comes into being in the width direction. Therefore, it is known that RBTO for 3-D structures is necessary to be performed.
엄영섭(Young-Sop Eom),유광선(Kwang-Sun Yoo),김동연(Dong-Yeon Kim),박재용(Jae-Yong Park),한석영(Seog-Young Han) 한국생산제조학회 2010 한국생산제조시스템학회 학술발표대회 논문집 Vol.2010 No.10
In this paper, bee colony algorithm and finite element analysis are adopted for topology optimization of structural models in the first attempt. The objective is to obtain the stiffest structure with a certain amount of material, based on each element's contribution to the strain energy. In order to prevent checkerboard pattern in the resulted optimum layout, a filter scheme is implemented. A few examples of 2D structural models are provided to examine the effectiveness and applicability of the proposed algorithm. The bee colony algorithm is well able to handle topology optimization problems.
박지용(Ji-Yong Park),엄영섭(Young-Sop Eom),유광선(Kwang-Sun Yoo),박재용(Jae-Yong Park),한석영(Seog-Young Han) 한국생산제조학회 2010 한국생산제조시스템학회 학술발표대회 논문집 Vol.2010 No.10
Artificial bee colony algorithm (ABCA) as one of swarm intelligence methods and finite element analysis are adopted for structural topology optimization. The objective is to obtain the stiffest structure with a certain amount of material based on the contributed strain energy of each element. A few examples of 2D structural models are provided to examine the effectiveness and applicability of the proposed algorithm comparing with the results of the solid isotropic microstructure with penalization (SIMP) method. The following conclusions are obtained that the modified ABCA is well able to handle optimization problems with a large number of design variables, it is found that the modified ABCA is robust and stable with the convergence criterion and it is found that the convergence rate of the modified ABCA is in average very faster than SIMP method in the presented examples.
구조물의 동적 문제에 대한 개선된 벌군집 알고리즘의 적용
박지용(Ji-Yong Park),류수필(Su-Pil Ryu),엄영섭(Young-Sop Eom),유광선(Kwang-Sun Yoo),박재용(Jae-Yong Park),한석영(Seog-Young Han) 한국생산제조학회 2010 한국공작기계학회 추계학술대회논문집 Vol.2010 No.-
Modified artificial bee colony algorithm (ABCA) as one of swarm intelligence methods and finite element analysis are adopted for topology optimization for dynamic problems. The objective is to obtain the structure with the highest first or second natural frequency with a certain amount of material based on each element's contribution to the natural frequency. A few examples of 2D structural models are provided to examine the effectiveness and applicability of the proposed algorithm comparing with the results of the bi-directional evolutionary structural optimization (BESO) method. The following conclusions are obtained that the modified ABCA is well able to handle the dynamic optimization problems with a large number of design variables, it is found that the modified ABCA is robust and stable with the convergence criterion.
박지용(Ji-Yong Park),엄영섭(Young-Sop Eom),유광선(Kwang-Sun Yoo),박재용(Jae-Yong Park),한석영(Seog-Young Han) 한국생산제조학회 2010 한국공작기계학회 추계학술대회논문집 Vol.2010 No.-
Artificial bee colony algorithm (ABCA) as one of swarm intelligence methods and finite element analysis are adopted for structural topology optimization. The objective is to obtain the stiffest structure with a certain amount of material based on the contributed strain energy of each element. A few examples of 2D structural models are provided to examine the effectiveness and applicability of the proposed algorithm comparing with the results of the solid isotropic microstructure with penalization (SIMP) method. The following conclusions are obtained that the modified ABCA is well able to handle optimization problems with a large number of design variables, it is found that the modified ABCA is robust and stable with the convergence criterion and it is found that the convergence rate of the modified ABCA is in average very faster than SIMP method in the presented examples.