An Approximation Approach to General Robustness Assessment for Multidisciplinary Systems
Abstract
In many engineering applications, both random and interval variables exist. The mixture of both types of variables has been dealt with in robust design for single-disciplinary systems. This work focuses on robustness assessment for multidisciplinary systems with both random and interval variables. To alleviate the intensive computational demand, a semi-second-order Taylor expansion method is proposed to evaluate robustness. A performance function is approximated with linear terms of random and interval variables, as well as the interaction terms between the two types of variables. Then the maximum and minimum standard deviations of the performance function are computed. With the proposed method, the impact of both random and interval variables on the system robustness can be evaluated efficiently. © 2010 by ASME.
Recommended Citation
X. Du and Y. Zhang, "An Approximation Approach to General Robustness Assessment for Multidisciplinary Systems," Journal of Computing and Information Science in Engineering, American Society of Mechanical Engineers (ASME), Jan 2010.
The definitive version is available at https://doi.org/10.1115/1.3290765
Department(s)
Mechanical and Aerospace Engineering
International Standard Serial Number (ISSN)
1530-9827
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2010 American Society of Mechanical Engineers (ASME), All rights reserved.
Publication Date
01 Jan 2010
