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A Variable-Size Local Domain Approach to Computer Model Validation in Design Optimization
Author(s) -
Dorin Drignei,
Zissimos P. Mourelatos,
Michael Kokkolaras,
Jing Li,
Grzegorz Koscik
Publication year - 2011
Publication title -
sae international journal of materials and manufacturing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.203
H-Index - 20
eISSN - 1946-3987
pISSN - 1946-3979
DOI - 10.4271/2011-01-0243
Subject(s) - model validation , variable (mathematics) , domain (mathematical analysis) , computer science , mathematics , data science , mathematical analysis
A common approach to the validation of simulation models focuses on validation throughout the entire design space. A more recent methodology validates designs as they are generated during a simulation-based optimization process. The latter method relies on validating the simulation model in a sequence of local domains. To improve its computational efficiency, this paper proposes an iterative process, where the size and shape of local domains at the current step are determined from a parametric bootstrap methodology involving maximum likelihood estimators of unknown model parameters from the previous step. Validation is carried out in the local domain at each step. The iterative process continues until the local domain does not change from iteration to iteration during the optimization process ensuring that a converged design optimum has been obtained. The proposed methodology is illustrated using a thermal, one-dimensional, linear heat conduction problem in a solid slab with heat flux boundary conditionsUpprättat; 2011; Bibliografisk uppgift: Paper Presented At: SAE 2011 World Congress & Exhibition ,2011-04-12 ,Detroit, Michigan, United States .; 20110822 (andbra); Konferensartikel i tidskrif

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