NDLI: Analytical Variance-Based Global Sensitivity Analysis in Simulation-Based Design Under Uncertainty

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Chen, Wei Jin, Ruichen Sudjianto, Agus
Copyright Year	2004
Abstract	The importance of sensitivity analysis in engineering design cannot be over-emphasized. In design under uncertainty, sensitivity analysis is performed with respect to the probabilistic characteristics. Global sensitivity analysis (GSA), in particular, is used to study the impact of variations in input variables on the variation of a model output. One of the most challenging issues for GSA is the intensive computational demand for assessing the impact of probabilistic variations. Existing variance-based GSA methods are developed for general functional relationships but require a large number of samples. In this work, we develop an efficient and accurate approach to GSA that employs analytic formulations derived from metamodels of engineering simulation models. We examine the types of GSA needed for design under uncertainty and derive generalized analytical formulations of GSA based on a variety of metamodels commonly used in engineering applications. The benefits of our proposed techniques are demonstrated and verified through both illustrative mathematical examples and the robust design for improving vehicle handling performance.
Sponsorship	Design Engineering Division and Computers and Information in Engineering Division
Starting Page	953
Ending Page	962
Page Count	10
File Format	PDF
ISBN	0791846946
DOI	10.1115/DETC2004-57484
e-ISBN	0791837424
Volume Number	Volume 1: 30th Design Automation Conference
Conference Proceedings	ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Language	English
Publisher Date	2004-09-28
Publisher Place	Salt Lake City, Utah, USA
Access Restriction	Subscribed
Subject Keyword	Global sensitivity analysis Analytical formulation Uncertainty Tensor basis product function Metamodeling Simulation-based design Design under uncertainty Simulation Sensitivity analysis
Content Type	Text
Resource Type	Article

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