Affordable Access

Access to the full text

Experience with approximate reliability-based optimization methods

Authors
  • Yang, R.J.1
  • Gu, L.1
  • 1 Ford Motor Company, 2101 Village Road, MD2115-SRL, Dearborn, Michigan, 48124, USA , Dearborn (United States)
Type
Published Article
Journal
Structural and Multidisciplinary Optimization
Publisher
Springer-Verlag
Publication Date
Jan 01, 2004
Volume
26
Issue
1-2
Pages
152–159
Identifiers
DOI: 10.1007/s00158-003-0319-2
Source
Springer Nature
Keywords
License
Yellow

Abstract

Traditional reliability-based design optimization (RBDO) requires a double loop iteration process. The inner optimization loop is to find the most probable point (MPP) and the outer is the regular optimization loop to optimize the RBDO problem with reliability objectives or constraints. It is well known that the computation can be prohibitive when the associated function evaluation is expensive. As a result, many approximate RBDO methods, which convert the double loop to a single loop, have been developed. In this work, several approximate RBDO methods are coded, discussed, and tested against a double loop algorithm through four design problems.

Report this publication

Statistics

Seen <100 times