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Efficient Global Optimization Reliability Analysis (EGORA) for Timedependent Limit-State Functions
Proceedings of the ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (2014, Buffalo, NY)
  • Zhen Hu
  • Xiaoping Du, Missouri University of Science and Technology
Abstract
If a limit-state function involves time, the associated reliability is defined within a period of time. The extreme value of the limit-state function is needed to calculate the timedependent reliability, and the extreme value is usually highly nonlinear with respect to random input variables and may follow a multimodal distribution. For this reason, a surrogate model of the extreme response along with Monte Carlo simulation is usually employed. The objective of this work is to develop a new method, called the Efficient Global Optimization Reliability Analysis (EGORA), to efficiently build the surrogate model. EGORA is based on the Efficient Global Optimization (EGO) method. Different from the current method that generates training points for random variables and time independently, EGORA draws training points for the two types of input variables simultaneously and therefore accounts for their interaction effects. The other improvement is that EGORA only focuses on high accuracy at or near the limit state. With the two improvements, the new method can effectively reduce the number of training points. Once the surrogate model of the extreme response is available, Monte Carlo simulation is applied to calculate the time-dependent reliability. Good accuracy and efficiency of EGORA are demonstrated by three examples.
Meeting Name
ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (2014: Aug. 17-20, Buffalo, NY)
Department(s)
Mechanical and Aerospace Engineering
Keywords and Phrases
  • Computer aided design,
  • Design,
  • Global optimization,
  • Intelligent systems,
  • Monte Carlo methods,
  • Reliability,
  • Efficient global optimization,
  • Extreme response,
  • Input variables,
  • Interaction effect,
  • Limit state functions,
  • Multimodal distributions,
  • Time dependent reliability,
  • Training points,
  • Reliability analysis
International Standard Book Number (ISBN)
9780791846322
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2014 American Society of Mechanical Engineers (ASME), All rights reserved.
Publication Date
8-1-2014
Citation Information
Zhen Hu and Xiaoping Du. "Efficient Global Optimization Reliability Analysis (EGORA) for Timedependent Limit-State Functions" Proceedings of the ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (2014, Buffalo, NY) Vol. 2B (2014)
Available at: http://works.bepress.com/xiaoping-du/23/