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Decomposition of System Level Reliability-Based Design Optimization to Reduce the Number of Simulations

[+] Author Affiliations
Diane Villanueva

University of Florida, Gainesville, FL; Ecole des Mines de Saint-Etienne, Saint-Etienne, France

Rodolphe Le Riche, Gauthier Picard

Ecole des Mines de Saint-Etienne, Saint-Etienne, France

Raphael T. Haftka, Bhavani V. Sankar

University of Florida, Gainesville, FL

Paper No. DETC2011-47815, pp. 117-126; 10 pages
  • ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 5: 37th Design Automation Conference, Parts A and B
  • Washington, DC, USA, August 28–31, 2011
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5482-2
  • Copyright © 2011 by ASME


It is computationally expensive to evaluate the overall system level reliability when several interacting failure modes are present. Therefore, it is even more expensive to optimize considering the system level reliability that accounts for the interactions between failure modes. In this paper, we decompose the system level reliability based optimization problem using surrogates into less expensive problems with fixed risk allocation for each failure mode. In addition, the fixed risk allocation problem is transformed from a purely probabilistic problem to a deterministic one through an iterative process of updating safety factors to limit the number of calls to evaluate the reliability. We found that the number of calls to the simulation to evaluate the system level reliability was reduced by 77% with this methodology.

Copyright © 2011 by ASME



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