A Framework for simulation-driven engineering design

YOEL, TENNE (2015) A Framework for simulation-driven engineering design. In: Second International Conference on Advances in Mechanical and Automation Engineering - MAE 2015, 18 - 19 April, 2015, Rome, Italy.

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The modern engineering design process often employs computer simulations to evaluate candidate designs. This setup transforms the design process into an optimization problem which involves a computationally-expensive black-box function, namely, which lacks an analytic expression and where each function evaluation requires large computational resources. An additional challenge in such settings is that simulation runs may consistently fail for some specific candidate designs, but with the reason for failure being unknown. To effectively handle such challenging problems this paper proposes an engineering optimization framework which incorporates a classifier whose goal is to predict if a candidate design is likely to result in a failed simulation run. This prediction is then used to dynamically divert the optimization search away from such designs, without sending them to the simulation. Numerical experiments based on an airfoil optimization problem show the effectiveness of the proposed approach.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: engineering design optimization, computer simulations, metamodels, classifiers (key words)
Depositing User: Mr. John Steve
Date Deposited: 01 May 2019 11:02
Last Modified: 01 May 2019 11:02
URI: http://publications.theired.org/id/eprint/1810

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