Journal
JOURNAL OF MECHANICAL DESIGN
Volume 136, Issue 2, Pages -Publisher
ASME
DOI: 10.1115/1.4026033
Keywords
-
Categories
Funding
- National Science Foundation [CMMI-1200597]
- Spirit AeroSystems Inc. [PO-4400221590]
- Div Of Civil, Mechanical, & Manufact Inn
- Directorate For Engineering [1200597] Funding Source: National Science Foundation
Ask authors/readers for more resources
A maximum confidence enhancement (MCE)-based sequential sampling approach is developed for reliability-based design optimization (RBDO) using surrogate models. The developed approach employs the ordinary Kriging method for surrogate model development and defines a cumulative confidence level (CCL) measure to quantify the accuracy of reliability estimation when Monte Carlo simulation is used based on the developed surrogate model. To improve the computational efficiency, an MCE-based sequential sampling scheme is developed to successively select sample points for surrogate model updating based on the defined CCL measure, in which a sample point that produces the largest CCL improvement will be selected. To integrate the MCE-based sequential sampling approach with RBDO, a new sensitivity analysis approach is developed, enabling smooth design sensitivity information to be accurately estimated based upon the constructed surrogate model without incurring any extra computational costs, thus greatly enhancing the efficiency and robustness of the design process. Two case studies are used to demonstrate the efficacy of the developed approach.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available