Reliability Analysis for Multidisciplinary System with Random and Interval Variables
Abstract
Tremendous efforts have been devoted to developing efficient approaches to reliability analysis for multidisciplinary systems. Most of the approaches, however, are only capable of dealing with random variables modeled by probability distributions. Both random and interval variables may exist in multidisciplinary systems. Their propagation through coupled subsystems makes reliability analysis computationally expensive. A unified reliability analysis framework with both random and interval variables is proposed for multidisciplinary systems in this work. The framework is an extension of the existing unified uncertainty analysis framework for single-disciplinary problems. Three supporting algorithms are developed by taking into account different strategies for various cases. The effectiveness of these algorithms is demonstrated by a mathematical example and an engineering application.
Recommended Citation
J. Guo and X. Du, "Reliability Analysis for Multidisciplinary System with Random and Interval Variables," Proceedings of the Structures, Structural Dynamics, and Materials Conference (2008, Schaumburg, IL), American Institute of Aeronautics and Astronautics (AIAA), Apr 2008.
Meeting Name
49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference (2008: Apr. 7-10, Schaumburg, IL)
Department(s)
Mechanical and Aerospace Engineering
Keywords and Phrases
Probability Distributions; Reliability Analysis Costs
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2008 American Institute of Aeronautics and Astronautics (AIAA), All rights reserved.
Publication Date
10 Apr 2008
