http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Reliability-Based Topology Optimization with Uncertainties
Chwail Kim,Semyung Wang,Kyoung-ryun Bae,Heegon Moon,Kyung K. Choi 대한기계학회 2006 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.20 No.4
This research proposes a reliability-based topology optimization (RBTO) using the finite element method. RBTO is a topology optimization based on probabilistic (or reliability) constraints. Young's modulus, thickness, and loading are considered as the uncertain variables and RBTO is applied to static and eigenvalue problems. The RBTO problems are formulated and a sensitivity analysis is performed. In order to compute probability constraints, two methods-RIA and PMA-are used. Several examples show the effectiveness of the proposed method by comparing the classical safety factor method.
Reliability-Based Topology Optimization with Uncertainties
Kim Chwa-Il,Wang Se-Myung,Bae Kyoung-Ryun,Moon Hee-Gon,Choi Kyung-K. The Korean Society of Mechanical Engineers 2006 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.20 No.4
This research proposes a reliability-based topology optimization (RBTO) using the finite element method. RBTO is a topology optimization based on probabilistic (or reliability) constraints. Young's modulus, thickness, and loading are considered as the uncertain variables and RBTO is applied to static and eigenvalue problems. The RBTO problems are formulated and a sensitivity analysis is performed. In order to compute probability constraints, two methods-RIA and PMA-are used. Several examples show the effectiveness of the proposed method by comparing the classical safety factor method.
황승민(Seung-min Hwang),박재용(Jae-yong Park),임민규(Min-gyu Im),오영규(Young-kyu Oh),박재용(Jae-yong Park),한석영(Seog-young Han) 한국생산제조학회 2009 한국생산제조시스템학회 학술발표대회 논문집 Vol.2009 No.5
This paper presents a reliability-based topology optimization (RBTO) using bi-directional evolutionary structural optimization (BESO). Topology optimization is formulated as volume minimization problem with probabilistic displacement constraint. Young's modulus, external load and thickness are considered as uncertain variables. In order to compute reliability index, four methods, i.e., RIA, PMA, SLSV and ADL(adaptive-loop), are used. Reliability-based topology optimization design process is conducted to obtain optimal topology satisfying displacement and reliability index constraints with the above four methods, and then each result is compared with respect to numerical stability and computing time.
박재용(Jae-Yong Park),황승민(Seung-Min Hwang),임민규(Min-Kyu Lim),오영규(Young-Kyu Oh),박재용(Jae-Yong Park),한석영(Seog-Young Han) 한국생산제조학회 2009 한국생산제조시스템학회 학술발표대회 논문집 Vol.2009 No.5
This paper presents a reliability-based topology optimization (RBTO) using bi-directional evolutionary structural optimization (BESO). An actual design involves uncertain conditions such as material property, operational load and dimensional variation. Deterministic topology optimization (DTO) is obtained without considering of uncertainties related to the uncertainty parameters. However, the RBTO can consider the uncertainty variables because it has the probabilistic constraints. In this paper, the reliability index approach (RIA) is adopted to evaluate the probabilistic constraint. RBTO based on BESO starting from various design domains produces a similar optimal topology each other. Numerical examples are presented to compare the DTO with the RBTO.
ESO 기법을 이용한 외팔보의 신뢰성 기반 위상최적설계
김상락,박재용,이원구,유진식,한석영 한국공작기계학회 2008 한국공작기계학회 춘계학술대회논문집 Vol.2008 No.-
This paper presents a Reliability-Based Topology Optimization (RBTO) using the Evolutionary Structural Optimization (ESO). An actual design involves uncertain conditions such as material property, operational load and dimensional variation. The Deterministic Topology Optimization (DTO) is obtained without considering of uncertainties related to the uncertainty parameters. However, the RBTO can consider the uncertainty variables because it has the probabilistic constraints, In order to determine whether the probabilistic constraint is satisfied or not, simulation techniques and approximation methods are developed, In this paper, the reliability index approach (RIA) is adopted to evaluate the probabilistic constraint, In order to apply the ESO method to the RBTO, a sensitivity number is defined as the change in the reliability index due to the removal of ith element. Numerical examples are presented to compare the DTO with the RBTO.
박재용,황승민,임민규,오영규,박재용,한석영 한국공작기계학회 2009 한국공작기계학회 춘계학술대회논문집 Vol.2009 No.-
This paper presents a reliability-based topology optimization (RBTO) using bi-directional evolutionary structural optimization (BESO). An actual design involves uncertain conditions such as material property, operational load and dimensional variation. Deterministic topology optimization (DTO) is obtained without considering of uncertainties related to the uncertainty parameters. However, the RBTO can consider the uncertainty variables because it has the probabilistic constraints. In this paper, the reliability index approach (RIA) is adopted to evaluate the probabilistic constraint. RBTO based on BESO starting from various design domains produces a similar optimal topology each other. Numerical examples are presented to compare the DTO with the RBTO.
황승민,박재용,임민규,오영규,한석영 한국공작기계학회 2009 한국공작기계학회 춘계학술대회논문집 Vol.2009 No.-
This paper presents a reliability-based topology optimization (RBTO) using bi-directional evolutionary structural optimization (BESO). Topology optimization is formulated as volume minimization problem with probabilistic displacement constraint. Young's modulus, external load and thickness are considered as uncertain variables. In order to compute reliability index, four methods, i.e., RIA, PMA, SLSV and ADL(adaptive-loop), are used. Reliability-based topology optimization design process is conducted to obtain optimal topology satisfying displacement and reliability index constraints with the above four methods, and then each result is compared with respect to numerical stability and computing time.
ESO 기법을 이용한 외팔보의 신뢰성 기반 위상최적설계
김상락(Sang-Rak Kim),박재용(Jea-Yong Park),이원구(Won-Goo Lee),유진식(Jin-Shik Yu),한석영(Seog-Young Han) 한국생산제조학회 2008 한국생산제조시스템학회 학술발표대회 논문집 Vol.2008 No.5
This paper presents a Reliability-Based Topology Optimization (RBTO) using the Evolutionary Structural Optimization (ESO). An actual design involves uncertain conditions such as material property, operational load and dimensional variation. The Deterministic Topology Optimization (DTO) is obtained without considering of uncertainties related to the uncertainty parameters. However, the RBTO can consider the uncertainty variables because it has the probabilistic constraints. In order to determine whether the probabilistic constraint is satisfied or not, simulation techniques and approximation methods are developed. In this paper, the reliability index approach (RIA) is adopted to evaluate the probabilistic constraint. In order to apply the ESO method to the RBTO, a sensitivity number is defined as the change in the reliability index due to the removal of ith element. Numerical examples are presented to compare the DTO with the RBTO.
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, 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.