Validating Designs Through Sequential Simulation-Based Optimization
Author(s) -
Jing Li,
Zissimos P. Mourelatos,
Michael Kokkolaras,
Panos Y. Papalambros,
David Gorsich
Publication year - 2010
Publication title -
kth publication database diva (kth royal institute of technology)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1115/detc2010-28431
Subject(s) - computer science , process (computing) , engineering design process , simulation modeling , design of experiments , design process , cantilever , optimal design , mathematical optimization , simulation , work in process , engineering , machine learning , mathematics , mechanical engineering , statistics , operations management , mathematical economics , aerospace engineering , operating system
Computational simulation models support a rapid design process. Given model approximation and operating conditions uncertainty, designers must have confidence that the designs obtained using simulations will perform as expected. This paper presents a methodology for validating designs as they are generated during a simulation-based optimization process. Current practice focuses on validation of simulation models throughout the entire design space. In contrast, the proposed methodology requires validation only at design points generated during optimization. The goal of such validation is confidence in the resulting design rather than in the underlying simulation model. The proposed methodology is illustrated on a simple cantilever beam design subject to vibrationUpprättat; 2011; 20110908 (andbra
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