Computational Optimal Design and Uncertainty Quantification of Complex Systems Using Explicit Decision Boundaries

Computational Optimal Design and Uncertainty Quantification of Complex Systems Using Explicit Decision Boundaries

This dissertation presents a sampling-based method that can be used for uncertainty quantification and deterministic or probabilistic optimization. The objective is to simultaneously address several difficulties faced by classical techniques based on response values and their gradients. In particula...

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Bibliographic Details
Main Author: Basudhar, Anirban
Other Authors: Missoum, Samy
Language:en
Published: The University of Arizona. 2011
Subjects:
explicit decision boundaries
multiple failure modes
reliability based design optimization
support vector machines
Mechanical Engineering
adaptive sampling
discontinuous and binary responses
Online Access:http://hdl.handle.net/10150/201491

Internet

http://hdl.handle.net/10150/201491

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