신뢰성 기반 위상최적화에 대한 비교 연구Comparative Study on Reliability-Based Topology Optimization
- Other Titles
- Comparative Study on Reliability-Based Topology Optimization
- Authors
- 조강희; 황승민; 박재용; 한석영
- Issue Date
- Aug-2011
- Publisher
- 한국생산제조학회
- Keywords
- Reliability-Base Topology Optimization (신뢰성기반 위상최적화); Reliability Index Approach (신뢰성 지수 접근법); Performance Measure Approach (목표 성능치 접근접); Single-Loop Single Vector (싱글루프싱글벡터); Adaptive-Loop(적응형 루프); Bi-directional Evolutionary Structural Optimization (양방향 진화적 구조최적화)
- Citation
- 한국생산제조학회지, v.20, no.4, pp.412 - 418
- Indexed
- KCI
- Journal Title
- 한국생산제조학회지
- Volume
- 20
- Number
- 4
- Start Page
- 412
- End Page
- 418
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/167808
- ISSN
- 2508-5093
- Abstract
- Reliability-based Topology optimization(RBTO) is to get an optimal design satisfying uncertainties of design variables.
Although RBTO based on homogenization and density distribution method has been done, RBTO based on BESO has not been reported yet. This study 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 allowable displacement and target reliability index with the above four methods, and then each result is compared with respect to numerical stability and computing time. The results of this study show that the RBTO based on BESO using the four methods can effectively be applied for topology optimization. And it was confirmed that DLSV and ADL had better numerical efficiency than SLSV. ADL and SLSV had better time cost than DLSV. Consequently, ADL method showed the best time efficiency and good numerical stability.
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