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논문 기본 정보

자료유형
학술저널
저자정보
Kang-Hee Cho (한양대학교) Seung-min Hwang (한양대학교) Jae-Yong Park (한양대학교) Seog-Young Han (한양대학교)
저널정보
한국생산제조학회 한국생산제조학회지 한국생산제조시스템학회지 Vol.20 No.4
발행연도
2011.8
수록면
412 - 418 (7page)

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초록· 키워드

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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.

목차

Abstract
1. Introduction
2. Bi-directional Evolutionary Structure Optimization
3. Reliability-based design optimization
4. Numerical Examples
5. Conclusions
References

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