Journal ArticleDOI
Collaborative Reliability Analysis under the Framework of Multidisciplinary Systems Design
Xiaoping Du,Wei Chen +1 more
TLDR
The procedure of the traditional Most Probable Point (MPP) based reliability analysis method is combined with the collaborative disciplinary analyses to automatically satisfy the interdisciplinary consistency when conducting reliability analysis.Abstract:
Traditional Multidisciplinary Design Optimization (MDO) generates deterministic optimal designs, which are frequently pushed to the limits of design constraint boundaries, leaving little or no room to accommodate uncertainties in system input, modeling, and simulation. As a result, the design solution obtained may be highly sensitive to the variations of system input which will lead to performance loss and the solution is often risky (high likelihood of undesired events). Reliability-based design is one of the alternative techniques for design under uncertainty. The natural method to perform reliability analysis in multidisciplinary systems is the all-in-one approach where the existing reliability analysis techniques are applied directly to the system-level multidisciplinary analysis. However, the all-in-one reliability analysis method requires a double loop procedure and therefore is generally very time consuming. To improve the efficiency of reliability analysis under the MDO framework, a collaborative reliability analysis method is proposed in this paper. The procedure of the traditional Most Probable Point (MPP) based reliability analysis method is combined with the collaborative disciplinary analyses to automatically satisfy the interdisciplinary consistency when conducting reliability analysis. As a result, only a single loop procedure is required and all the computations are conducted concurrently at the individual discipline-level. Compared with the existing reliability analysis methods in MDO, the proposed method is efficient and therefore provides a cheaper tool to evaluate design feasibility in MDO under uncertainty. Two examples are used for the purpose of verification.read more
Citations
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Journal ArticleDOI
Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles
TL;DR: A comprehensive review of Uncertainty-Based Multidisciplinary Design Optimization (UMDO) theory and the state of the art in UMDO methods for aerospace vehicles is presented.
Journal ArticleDOI
MDO: assessment and direction for advancement— an opinion of one international group
Jeremy S. Agte,Olivier de Weck,Jaroslaw Sobieszczanski-Sobieski,Paul Arendsen,Alan Morris,Martin Spieck +5 more
TL;DR: The 2006 European-U.S. Multidiscipli-nary Optimization (MDO) Colloquium in Goettingen, Germany, was attended by nearly seventy professionals from academia, industry, and government as discussed by the authors.
Proceedings ArticleDOI
Design Optimization of Hierarchically Decomposed Multilevel Systems Under Uncertainty
TL;DR: In this paper, an extended, probabilistic version of the deterministic analytical target cascading (ATC) formulation is proposed by treating uncertain quantities as random variables and posing probabilistically design constraints, and a bottom-to-top coordination strategy is used for the ATC process.
Journal ArticleDOI
Multiobjective Collaborative Robust Optimization With Interval Uncertainty and Interdisciplinary Uncertainty Propagation
Mian Li,Shapour Azarm +1 more
TL;DR: It is concluded that McRO can solve fully coupled MDO problems with interval uncertainty and obtain solutions that are comparable to a single-disciplinary robust optimization approach.
Journal ArticleDOI
Reliability-Based Multidisciplinary Design Optimization Using Subset Simulation Analysis and Its Application in the Hydraulic Transmission Mechanism Design
TL;DR: In this article, a set simulation-based reliability analysis (SSRA) approach is combined with the multidisciplinary design optimization (MDO) to improve the computational efficiency in the Reliability based Multidisciplinary Design Optimization (RBMDO) problems.
References
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Journal ArticleDOI
Remarks on a Multivariate Transformation
Journal ArticleDOI
Exact and Invariant Second-Moment Code Format
A. M. Hasofer,Niels C. Lind +1 more
TL;DR: In this article, a fundamental analysis of the meaning of second-moment reliability in multivariate problems is presented, and the format described is entirely derived from one basic assumption concerning the measurement of reliability.
Journal ArticleDOI
Advanced probabilistic structural analysis method for implicit performance functions
TL;DR: An advanced mean-based method is presented, capable of establishing the full probability distributions to provide additional information for reliability design and can be used to solve problems involving nonmonotonic functions that result in truncated distributions.
Journal ArticleDOI
Towards a Better Understanding of Modeling Feasibility Robustness in Engineering Design
Xiaoping Du,Wei Chen +1 more
TL;DR: Under the framework of probabilistic optimization, this work proposes to use a most probable point (MPP) based importance sampling method, a method rooted in the field of reliability analysis, for evaluating the feasibility robustness.
Journal ArticleDOI
Efficient Uncertainty Analysis Methods for Multidisciplinary Robust Design
Xiaoping Du,Wei Chen +1 more
TL;DR: In this article, a multidisciplinary robust design procedure that utilizes efficient methods for uncertainty analysis is developed, and the proposed techniques bring the features of a multi-disciplinary design optimization framework into consideration.
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