Optimization of Complex Engineered Systems Under Risk and Uncertainty

Seung-Kyum Choi; Mervyn Fathianathan; Dirk Schaefer

Optimization of Complex Engineered Systems Under Risk and Uncertainty

Seung-Kyum Choi, Mervyn Fathianathan, Dirk Schaefer

Department of Mechanical Engineering

Research output: Contribution to conference › Paper › peer-review

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 language	English
Publication status	Published - 2007
Event	ASME 2007 International Design Engineering Technical Conference & Computers and Information in Engineering Conference IDETC/CIE 2007 - Las Vegas, Nevada, USA United States Duration: 4 Sept 2007 → 7 Sept 2007

Conference

Conference	ASME 2007 International Design Engineering Technical Conference & Computers and Information in Engineering Conference IDETC/CIE 2007
Country/Territory	USA United States
City	Las Vegas, Nevada
Period	4/09/07 → 7/09/07

Keywords

Optimization
uncertainty analysis

Cite this

Optimization of Complex Engineered Systems Under Risk and Uncertainty. / Choi, Seung-Kyum; Fathianathan, Mervyn; Schaefer, Dirk.
2007. 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.

Research output: Contribution to conference › Paper › peer-review

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title = "Optimization of Complex Engineered Systems Under Risk and Uncertainty",

abstract = "The advances in information technology significantly impactthe engineering design process. The primary objective of thisresearch is to develop a novel probabilistic decision supporttool to assist management of structural systems under risk anduncertainty by utilizing a stochastic optimization procedure andIT tools. The proposed mathematical and computationalframework will overcome the drawbacks of the traditionalmethods and will be critically demonstrated through large-scalestructural problems. The efficiency of the proposed procedureis achieved by the combination of the Karhunen-Loevetransform with the stochastic analysis of polynomial chaosexpansion to common optimization procedures. The proposedtechnology, comprising new and adapted current capabilities,will provide robust and physically reasonable solutions forpractical engineering problems.",

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author = "Seung-Kyum Choi and Mervyn Fathianathan and Dirk Schaefer",

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TY - CONF

T1 - Optimization of Complex Engineered Systems Under Risk and Uncertainty

AU - Choi, Seung-Kyum

AU - Fathianathan, Mervyn

AU - Schaefer, Dirk

PY - 2007

Y1 - 2007

N2 - The advances in information technology significantly impactthe engineering design process. The primary objective of thisresearch is to develop a novel probabilistic decision supporttool to assist management of structural systems under risk anduncertainty by utilizing a stochastic optimization procedure andIT tools. The proposed mathematical and computationalframework will overcome the drawbacks of the traditionalmethods and will be critically demonstrated through large-scalestructural problems. The efficiency of the proposed procedureis achieved by the combination of the Karhunen-Loevetransform with the stochastic analysis of polynomial chaosexpansion to common optimization procedures. The proposedtechnology, comprising new and adapted current capabilities,will provide robust and physically reasonable solutions forpractical engineering problems.

AB - The advances in information technology significantly impactthe engineering design process. The primary objective of thisresearch is to develop a novel probabilistic decision supporttool to assist management of structural systems under risk anduncertainty by utilizing a stochastic optimization procedure andIT tools. The proposed mathematical and computationalframework will overcome the drawbacks of the traditionalmethods and will be critically demonstrated through large-scalestructural problems. The efficiency of the proposed procedureis achieved by the combination of the Karhunen-Loevetransform with the stochastic analysis of polynomial chaosexpansion to common optimization procedures. The proposedtechnology, comprising new and adapted current capabilities,will provide robust and physically reasonable solutions forpractical engineering problems.

KW - Optimization

KW - uncertainty analysis

M3 - Paper

T2 - ASME 2007 International Design Engineering Technical Conference & Computers and Information in Engineering Conference IDETC/CIE 2007

Y2 - 4 September 2007 through 7 September 2007

ER -

Optimization of Complex Engineered Systems Under Risk and Uncertainty

Abstract

Conference

Keywords

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Cite this