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Evidence Theory-Based Reliability Analysis and Optimization in Engineering Design

[+] Author Affiliations
Li Du, Hong-Zhong Huang

University of Electronic Science and Technology of China, Chengdu, Sichuan, China

Liping He

Dalian University of Technology, Dalian, Liaoning, China

Paper No. DETC2007-34626, pp. 1111-1117; 7 pages
  • ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 6: 33rd Design Automation Conference, Parts A and B
  • Las Vegas, Nevada, USA, September 4–7, 2007
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 0-7918-4807-8 | eISBN: 0-7918-3806-4
  • Copyright © 2007 by ASME


Engineering design under uncertainty has gained considerable attention in recent years. There exist two different types of uncertainties in practical engineering applications: aleatory uncertainty that is classified as objective and irreducible uncertainty with sufficient information on input uncertainty data and epistemic uncertainty that is a subjective and reducible uncertainty that is caused by the lack of knowledge on input uncertainty data. Among several alternative tools to handle uncertainty, evidence theory has proved to be computationally efficient and stable tool for reliability analysis and design optimization under aleatory and/or epistemic uncertainty involved in engineering systems. This paper attempts to give a better understanding of uncertainty in engineering design with a general overview. The overview includes theoretical research, computational development, and performable ability consideration of evidence theory during recent years. At last, perspectives on future research are stated.

Copyright © 2007 by ASME



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