Uncertainty-Based Design and Optimization Using First Order Saddle Point Approximation Method for Multidisciplinary Engineering Systems
Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 6, Issue 3
Abstract
The widely used First Order Reliability Method (FORM) is efficient for uncertainty quantification and safety assessment in Uncertainty-based Multidisciplinary Design Optimization (UBMDO). However, the Rosenblatt transformation is necessary for FORM. This transformation process can significantly increase the degree of nonlinearity of the computing process, especially in a multidisciplinary coupled computing environment. To deal with this case, the First Order Saddlepoint Approximation (FOSPA) strategy was utilized in this study. The method of UBMDO using FOSPA was proposed to enhance the accuracy of reliability evaluation in the calculation process. Moreover, the decoupling strategy of UBMDO was introduced here for higher computing efficiency. Two examples were utilized to illustrate the application of the proposed method.
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Data Availability Statement
All codes including reliability analysis and optimization generated or used during the study are available from the corresponding author by request.
Acknowledgments
The support from the National Natural Science Foundation of China (Grant Nos. 51605080 and 11672070), the Sichuan Science and Technology Program (Grant Nos. 2019YFG0350 and 2019YFG0348), the Fundamental Research Funds for the Central Universities of China (Grant No. ZYGX2019J035) and the Open Research Subject of Key Laboratory (Fluid Machinery and Engineering Research Base) of Sichuan Province (Grant No. szjj2019-030) are gratefully acknowledged.
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Published In
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 6 • Issue 3 • September 2020
Copyright
©2020 American Society of Civil Engineers.
History
Received: Feb 17, 2020
Accepted: Mar 23, 2020
Published online: Jun 10, 2020
Published in print: Sep 1, 2020
Discussion open until: Nov 10, 2020
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