Novel computational methods for stochastic design optimization of high-dimensional complex systems

Novel computational methods for stochastic design optimization of high-dimensional complex systems

The primary objective of this study is to develop new computational methods for robust design optimization (RDO) and reliability-based design optimization (RBDO) of high-dimensional, complex engineering systems. Four major research directions, all anchored in polynomial dimensional decomposition (PD...

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Bibliographic Details
Main Author: Ren, Xuchun
Other Authors: Rahman, Sharif
Format: Others
Language:English
Published: University of Iowa 2015
Subjects:
publicabstract
Design Under Uncertainties
mixed design variables
Polynomial dimensional decomposition
Orthogonal polynomials
Reliability-based Design Optimization
Robust Design Optimization
Score Function
Saddlepoint approximation
Mechanical Engineering
Online Access:https://ir.uiowa.edu/etd/1738
https://ir.uiowa.edu/cgi/viewcontent.cgi?article=5790&context=etd

Internet

https://ir.uiowa.edu/etd/1738
https://ir.uiowa.edu/cgi/viewcontent.cgi?article=5790&context=etd

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