NDLI: Computationally Efficient Imprecise Uncertainty Propagation in Engineering Design and Decision Making

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Dipanjan, D. Ghosh Olewnik, Andrew
Copyright Year	2012
Abstract	Modeling uncertainty through probabilistic representation in engineering design is common and important to decision making that considers risk. However, representations of uncertainty often ignore elements of “imprecision” that may limit the robustness of decisions. Further, current approaches that incorporate imprecision suffer from computational expense and relatively high solution error. This work presents the Computationally Efficient Imprecise Uncertainty Propagation (CEIUP) method which draws on existing approaches for propagation of imprecision and integrates sparse grid numerical integration to provide computational efficiency and low solution error for uncertainty propagation. The first part of the paper details the methodology and demonstrates improvements in both computational efficiency and solution accuracy as compared to the Optimized Parameter Sampling (OPS) approach for a set of numerical case studies. The second half of the paper is focused on estimation of non-dominated design parameter spaces using decision policies of Interval Dominance and Maximality Criterion in the context of set-based sequential design-decision making. A gear box design problem is presented and compared with OPS, demonstrating that CEIUP provides improved estimates of the non-dominated parameter range for satisfactory performance with faster solution times. Parameter estimates obtained for different risk attitudes are presented and analyzed from the perspective of Choice Theory leading to questions for future research. The paper concludes with an overview of design problem scenarios in which CEIUP is the preferred method and offers opportunities for extending the method.
Sponsorship	Design Engineering Division Computers and Information in Engineering Division
Starting Page	1153
Ending Page	1165
Page Count	13
File Format	PDF
ISBN	9780791845028
DOI	10.1115/DETC2012-70419
Volume Number	Volume 3: 38th Design Automation Conference, Parts A and B
Conference Proceedings	ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Language	English
Publisher Date	2012-08-12
Publisher Place	Chicago, Illinois, USA
Access Restriction	Subscribed
Subject Keyword	Engineering design Design Space Errors Uncertainty Gears Decision making Risk Robustness Modeling
Content Type	Text
Resource Type	Article

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