Reliability Analysis for Multidisciplinary Systems Involving Stationary Stochastic Processes
The response of a component in a multidisciplinary system is affected by not only the discipline to which it belongs, but also by other disciplines of the system. If any components are subject to time-dependent uncertainties, responses of all the components and the system are also time dependent. Thus, time-dependent multidisciplinary reliability analysis is required. To extend the current time-dependent reliability analysis for a single component, this work develops a time-dependent multidisciplinary reliability method for components in a multidisciplinary system under stationary stochastic processes. The method modifies the First and Second Order Reliability Methods (FORM and SORM) so that the Multidisciplinary Analysis (MDA) is incorporated while approximating the limitstate function of the component under consideration. Then Monte Carlo simulation is used to calculate the reliability without calling the original limit-state function. Two examples are used to demonstrate and evaluate the proposed method.
Z. Zhu et al., "Reliability Analysis for Multidisciplinary Systems Involving Stationary Stochastic Processes," Proceedings of the ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (2015, Boston, MA), vol. 2B-2015, American Society of Mechanical Engineers (ASME), Aug 2015.
The definitive version is available at http://dx.doi.org/10.1115/DETC201546168
ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (2015: Aug. 2-5, Boston, MA)
Mechanical and Aerospace Engineering
Keywords and Phrases
Computer aided design; Design; Intelligent systems; Monte Carlo methods; Random processes; Reliability; Stochastic systems; Limit state functions; Limit-state function; Multi-disciplinary analysis; Multi-disciplinary systems; Reliability methods; Second-order reliability methods; Stationary stochastic process; Time dependent reliability analysis; Reliability analysis
International Standard Book Number (ISBN)
Article - Conference proceedings
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