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dc.contributor.authorSmith, Matthew R.en_US
dc.contributor.authorKuo, Fang-Anen_US
dc.contributor.authorHsieh, Chih-Weien_US
dc.contributor.authorYu, Jen-Perngen_US
dc.contributor.authorWu, Jong-Shinnen_US
dc.contributor.authorFerguson, Alexen_US
dc.date.accessioned2014-12-08T15:06:49Z-
dc.date.available2014-12-08T15:06:49Z-
dc.date.issued2010-06-01en_US
dc.identifier.issn0010-4655en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.cpc.2010.02.009en_US
dc.identifier.urihttp://hdl.handle.net/11536/5351-
dc.description.abstractPresented 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 reserveden_US
dc.language.isoen_USen_US
dc.subjectBlast waveen_US
dc.subjectEuler equationen_US
dc.subjectQuiet direct simulationen_US
dc.subjectGenetic algorithmen_US
dc.titleRapid optimization of blast wave mitigation strategies using Quiet Direct Simulation and Genetic Algorithmen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.cpc.2010.02.009en_US
dc.identifier.journalCOMPUTER PHYSICS COMMUNICATIONSen_US
dc.citation.volume181en_US
dc.citation.issue6en_US
dc.citation.spage1025en_US
dc.citation.epage1036en_US
dc.contributor.department機械工程學系zh_TW
dc.contributor.departmentDepartment of Mechanical Engineeringen_US
dc.identifier.wosnumberWOS:000277954400006-
dc.citation.woscount0-
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