Show simple item record

dc.contributor.authorWang, Zequn
dc.contributor.authorWang, Pingfeng
dc.identifier.citationWang, Zequn; Wang, Pingfeng. 2014. A maximum confidence enhancement based sequential sampling scheme for simulation-based design. Journal of Mechanical Design, vol. 136:no. 2en_US
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractA 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.en_US
dc.description.sponsorshipNational Science Foundation (CMMI-1200597) and Spirit AeroSystems Inc. (PO-4400221590).en_US
dc.publisherAmer Soc Mechanical Engineersen_US
dc.relation.ispartofseriesJournal of Mechanical Design;v.136:no.2
dc.titleA maximum confidence enhancement based sequential sampling scheme for simulation-based designen_US

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record