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대체모델을 이용한 신뢰성기반 최적설계를 위한 효율적인 제한조건경계 샘플링 기법

Title
대체모델을 이용한 신뢰성기반 최적설계를 위한 효율적인 제한조건경계 샘플링 기법
Other Titles
An efficient constraint boundary sampling method for RBDO using surrogate model
Author
이태희
Keywords
Constraint boundary sampling; FORM; Kriging surrogate model; RBDO; 제한조건경계 샘플링; 1차 신뢰도법; 크리깅 대체모델; 신뢰성기반 최적설계
Issue Date
2015-11
Publisher
대한기계학회
Citation
대한기계학회 창립 70주년 기념 학술대회, 2015.11, Page. 1639-1640
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.
URI
http://www.dbpia.co.kr/Article/NODE06575919http://hdl.handle.net/20.500.11754/28912
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
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