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    Genetic Algorithm-Based Decision Support for Optimizing Seismic Response of Piping Systems

    Source: Journal of Structural Engineering:;2005:;Volume ( 131 ):;issue: 003
    Author:
    Abhinav Gupta
    ,
    Prakash Kripakaran
    ,
    G. (Kumar) Mahinthakumar
    ,
    John W. Baugh Jr.
    DOI: 10.1061/(ASCE)0733-9445(2005)131:3(389)
    Publisher: American Society of Civil Engineers
    Abstract: This paper describes computational approaches used in a prototype decision support system (DSS) for seismic design and performance evaluation of piping supports. The DSS is primarily based on a genetic algorithm (GA) that uses finite element analyses, and an existing framework for high performance distributed computing on workstation clusters. A detailed discussion is presented on various issues related to the development of an efficient GA implementation for evaluating the trade-off between the number of supports and cost. An integer string representation of the type used in some existing studies, for instance, is shown to be inferior to a binary string representation, which is appropriate when supports are modeled as axially rigid. A novel seeding technique, which overcomes the inefficiencies of conventional methods in the context of pipe support optimization, is also presented. Finally, an efficient crossover scheme is proposed for generating trade-off curves and the approach is validated with respect to optimal solutions obtained by enumeration. In addition to computational enhancements, the role of joint-cognitive decision making is explored using “Modeling to Generate Alternatives - MGA,” a methodology based on optimization to produce alternatives that may spur creativity and offer new insights. These computational approaches are illustrated with applications to a simple, representative piping system, as well as an actual power plant piping system.
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      Genetic Algorithm-Based Decision Support for Optimizing Seismic Response of Piping Systems

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    contributor authorAbhinav Gupta
    contributor authorPrakash Kripakaran
    contributor authorG. (Kumar) Mahinthakumar
    contributor authorJohn W. Baugh Jr.
    date accessioned2017-05-08T20:59:19Z
    date available2017-05-08T20:59:19Z
    date copyrightMarch 2005
    date issued2005
    identifier other%28asce%290733-9445%282005%29131%3A3%28389%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/34487
    description abstractThis paper describes computational approaches used in a prototype decision support system (DSS) for seismic design and performance evaluation of piping supports. The DSS is primarily based on a genetic algorithm (GA) that uses finite element analyses, and an existing framework for high performance distributed computing on workstation clusters. A detailed discussion is presented on various issues related to the development of an efficient GA implementation for evaluating the trade-off between the number of supports and cost. An integer string representation of the type used in some existing studies, for instance, is shown to be inferior to a binary string representation, which is appropriate when supports are modeled as axially rigid. A novel seeding technique, which overcomes the inefficiencies of conventional methods in the context of pipe support optimization, is also presented. Finally, an efficient crossover scheme is proposed for generating trade-off curves and the approach is validated with respect to optimal solutions obtained by enumeration. In addition to computational enhancements, the role of joint-cognitive decision making is explored using “Modeling to Generate Alternatives - MGA,” a methodology based on optimization to produce alternatives that may spur creativity and offer new insights. These computational approaches are illustrated with applications to a simple, representative piping system, as well as an actual power plant piping system.
    publisherAmerican Society of Civil Engineers
    titleGenetic Algorithm-Based Decision Support for Optimizing Seismic Response of Piping Systems
    typeJournal Paper
    journal volume131
    journal issue3
    journal titleJournal of Structural Engineering
    identifier doi10.1061/(ASCE)0733-9445(2005)131:3(389)
    treeJournal of Structural Engineering:;2005:;Volume ( 131 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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