대체모델을 이용한 신뢰성기반 최적설계를 위한 효율적인 제한조건경계 샘플링 기법An efficient constraint boundary sampling method for RBDO using surrogate model
- Other Titles
- An efficient constraint boundary sampling method for RBDO using surrogate model
- Authors
- 김지훈; 장준용; 김신유; 이태희; 조수길; 김형우; 홍섭; 정재준
- Issue Date
- Nov-2015
- Publisher
- 대한기계학회
- Keywords
- Constraint boundary sampling(제한조건경계 샘플링); FORM(1차 신뢰도법); Kriging surrogate model(크리깅 대체모델); RBDO(신뢰성기반 최적설계)
- Citation
- 대한기계학회 창립 70주면 기념 학술대회, pp.1639 - 1640
- Indexed
- OTHER
- Journal Title
- 대한기계학회 창립 70주면 기념 학술대회
- Start Page
- 1639
- End Page
- 1640
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/155860
- Abstract
- Reliability-based design optimization (RBDO) accompanies large computational cost due to reliability analysis. Surrogate models were introduced to overcome this computational drawback in RBDO. To ensure the accuracy of the reliability, the boundaries of constraints should be well approximated because the solutions of RBDO are commonly located near the boundaries of constraints. In an earlier research, constraint boundary sampling (CBS) was proposed to approximate the boundaries of constraints accurately by locating sample points on the boundaries of constraints. However, because of CBS located the sample points at all constraint boundaries, it can locate sample points unnecessarily far from RBDO solution. In this paper, efficient constraint boundary sampling (ECBS) is proposed to enhance the efficiency of CBS. ECBS uses the statistical information of kriging surrogate model to locate sample points on near the RBDO solution. ECBS is compared with conventional sampling techniques
- Files in This Item
-
Go to Link
- Appears in
Collections - 서울 공과대학 > 서울 미래자동차공학과 > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.