Study of Reliability-Based Robust Design Optimization Using Conservative Approximate Meta-Models

doi:2012.26.6.80

J. Ocean Eng. Technol. > Volume 26(6); 2012 > Article

J. Ocean Eng. Technol. 2012;26(6):80-85.
DOI: https://doi.org/10.5574/KSOE.2012.26.6.080

Sim Hyoung Min,Song Chang Yong,Lee Jongsoo,Choi Ha-Young

Dep't of Mechanical Engineering Graduate School Yonsei University,Dep't of Ocean Engineering Mokpo National University,Dep't of Mechanical Engineering Graduate School Yonsei University,High-speed Railroad Systems Research Center KRRI

보수적 근사모델을 적용한 신뢰성 기반 강건 최적설계 방법

심형민,송창용,이종수,최하영

연세대학교 기계공학부,목포대학교 해양시스템공학과,연세대학교 기계공학부,한국철도기술연구원 고속철도연구본부

Keywords: Reliability based design optimization, Robust optimization, Reliability based robust design optimization, Conservative approximation

핵심용어: 신뢰성 기반 최적설계, 강건 최적화, 신뢰성 기반 강건 최적설계, 보수적 근사화

Abstract

The methods of robust design optimization (RDO) and reliability-based robust design optimization (RBRDO) were implemented in the present study. RBRDO is an integrated method that accounts for the design robustness of an objective function and for the reliability of constraints. The objective function in RBRDO is expressed in terms of the mean and standard deviation of an original objective function. Thus, a multi-objective formulation is employed. The regressive approximate models are generated via the moving least squares method (MLSM) and constraint-feasible moving least squares method (CF-MLSM), which make it possible to realize the feasibility regardless of the multimodality/nonlinearity of the constraint function during the approximate optimization processes. The regression model based RBRDO is newly devised and its numerical characteristics are explored using the design of an actively controlled ten bar truss structure.