NDLI: Building Surrogate Models Based on Detailed and Approximate Simulations

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Qian, Zhiguang Seepersad, Carolyn Conner Joseph, V. Roshan Wu, C. F. Jeff Janet, K. Allen
Copyright Year	2004
Abstract	Preliminary design of a complex system often involves exploring a large design space. This may require repeated use of computationally expensive simulations. To ease the computational burden, surrogate models are built to provide rapid approximations of more expensive models. However, the surrogate models themselves are often expensive to build because they are based on repeated experiments with computationally expensive simulations. An alternative approach is to replace the detailed simulations with simplified approximate simulations, thereby sacrificing accuracy for reduced computational time. Naturally, surrogate models built from these approximate simulations will also be imprecise. A strategy is needed for improving the precision of surrogate models based on approximate simulations without significantly increasing computational time. In this paper, a new approach is taken to integrate data from approximate and detailed simulations to build a surrogate model to describe the relationship between output and input parameters. Experimental results from approximate simulations form the bulk of the data, and they are used to build a model based on a Gaussian process. The fitted model is then ‘adjusted’ by incorporating small amounts of data from detailed simulations to obtain a more accurate prediction model. The effectiveness of this approach is demonstrated with a design application for a cellular material that is used to cool a microprocessor. The emphasis is on the method and not on the results per se.
Sponsorship	Design Engineering Division and Computers and Information in Engineering Division
Starting Page	963
Ending Page	972
Page Count	10
File Format	PDF
ISBN	0791846946
DOI	10.1115/DETC2004-57486
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	Design Engineering simulation Approximation Simulation Complex systems
Content Type	Text
Resource Type	Article

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