Rapid optimization of blast wave mitigation strategies using Quiet Direct Simulation and Genetic Algorithm

Matthew R. Smith, Fang An Kuo, Chih Wei Hsieh, Jen Perng Yu, Jong-Shinn Wu*, Alex Ferguson

*Corresponding author for this work

研究成果: Article同行評審

摘要

Presented is a rapid calculation tool for the optimization of blast wave related mitigation strategies. The motion of gas resulting from a blast wave (specified by the user) is solved by the Quiet Direct Simulation (QDS) method - a rapid kinetic theory-based finite volume method. The optimization routine employed is a newly developed Genetic Algorithm (GA) which is demonstrated to be similar to a Differential Evolution (DE) scheme with several modifications. In any Genetic Algorithm, individuals contain genetic information which is passed on to newly created individuals in successive generations. The results from unsteady QDS simulations are used to determine the individual's "genetic fitness" which is employed by the proposed Genetic Algorithm during the reproduction process. The combined QDS/GA algorithm is applied to various test cases and finally the optimization of a non-trivial blast wave mitigation strategy. Both QDS and the proposed GA are demonstrated to perform with minimal computational expense while accurately solving the optimization problems presented.

原文English
頁(從 - 到)1025-1036
頁數12
期刊Computer Physics Communications
181
發行號6
DOIs
出版狀態Published - 1 六月 2010

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