標題: Rapid optimization of blast wave mitigation strategies using Quiet Direct Simulation and Genetic Algorithm
作者: Smith, Matthew R.
Kuo, Fang-An
Hsieh, Chih-Wei
Yu, Jen-Perng
Wu, Jong-Shinn
Ferguson, Alex
機械工程學系
Department of Mechanical Engineering
關鍵字: Blast wave;Euler equation;Quiet direct simulation;Genetic algorithm
公開日期: 1-Jun-2010
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 lit 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 (C) 2010 Elsevier BV All rights reserved
URI: http://dx.doi.org/10.1016/j.cpc.2010.02.009
http://hdl.handle.net/11536/5351
ISSN: 0010-4655
DOI: 10.1016/j.cpc.2010.02.009
期刊: COMPUTER PHYSICS COMMUNICATIONS
Volume: 181
Issue: 6
起始頁: 1025
結束頁: 1036
Appears in Collections:Articles


Files in This Item:

  1. 000277954400006.pdf