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Sankaran Mahadevan with Vanderbilt University |
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Date: July 19, 2004
Time: 10:30am
Location: NIA, Rm 404
Speaker: Sankaran Mahadevan with Vanderbilt University
Subject: "Multidisciplinary Design Optimization under Uncertainty"
Additional Information: Webcast
Research in design optimization methods has increasingly become concerned with the mathematical treatment of uncertainties in system demands and capacity, component interactions, and available resources. Recent efforts in this context seek to integrate advances in two directions: computational reliability analysis methods and deterministic design optimization. This presentation discusses newly developed computational methods for such integration, using de-coupled formulations, for multidisciplinary and multiobjective problems. Many of the design decisions are made in the early, conceptual design stage of the system, without detailed information about system and component properties. Model uncertainty is another critical issue during conceptual design. The presentation will discuss recently developed methods to include information and model uncertainties in design optimization. Illustrative problems in aerospace and automotive systems design will be presented. The research described in this presentation has been funded by NASA LaRC (MDO Branch), General Motors, and Sandia National Laboratories.
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