Optimization of Complex Engineered Systems Under Risk and Uncertainty

Seung-Kyum Choi, Mervyn Fathianathan, Dirk Schaefer

Research output: Contribution to conferencePaper

Abstract

The advances in information technology significantly impact
the engineering design process. The primary objective of this
research is to develop a novel probabilistic decision support
tool to assist management of structural systems under risk and
uncertainty by utilizing a stochastic optimization procedure and
IT tools. The proposed mathematical and computational
framework will overcome the drawbacks of the traditional
methods and will be critically demonstrated through large-scale
structural problems. The efficiency of the proposed procedure
is achieved by the combination of the Karhunen-Loeve
transform with the stochastic analysis of polynomial chaos
expansion to common optimization procedures. The proposed
technology, comprising new and adapted current capabilities,
will provide robust and physically reasonable solutions for
practical engineering problems.
Original languageEnglish
Publication statusPublished - 2007
EventASME 2007 International Design Engineering Technical Conference & Computers and Information in Engineering Conference IDETC/CIE 2007 - Las Vegas, Nevada, USA United States
Duration: 4 Sep 20077 Sep 2007

Conference

ConferenceASME 2007 International Design Engineering Technical Conference & Computers and Information in Engineering Conference IDETC/CIE 2007
CountryUSA United States
CityLas Vegas, Nevada
Period4/09/077/09/07

Keywords

  • Optimization
  • uncertainty analysis

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  • Cite this

    Choi, S-K., Fathianathan, M., & Schaefer, D. (2007). Optimization of Complex Engineered Systems Under Risk and Uncertainty. Paper presented at ASME 2007 International Design Engineering Technical Conference & Computers and Information in Engineering Conference IDETC/CIE 2007, Las Vegas, Nevada, USA United States.