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    Minimizing Consequences of Explosive Attacks on Remote Construction Sites

    Source: Journal of Performance of Constructed Facilities:;2020:;Volume ( 034 ):;issue: 001
    Author:
    Steven Schuldt
    ,
    Khaled El-Rayes
    ,
    Ahmet Soylemezoglu
    ,
    Noah Garfinkle
    DOI: 10.1061/(ASCE)CF.1943-5509.0001354
    Publisher: ASCE
    Abstract: Remote construction sites, such as oil production facilities and military forward operating bases, are frequently targeted by explosive terrorist attacks. These attacks produce devastating and far-reaching consequences that can be grouped into four main categories: personnel loss, psychological impact, economic loss, and operational impact. Existing security models rely on time-consuming external blast analysis software packages to quantify the consequences of explosive attacks and therefore cannot be used to optimize the layout planning of remote construction sites. This paper developed a novel facility layout optimization model capable of directly quantifying blast consequences and generating optimal site layout plans and protection strategies. The model is implemented using multiobjective genetic algorithms to identify solutions that provide optimal tradeoffs between the competing objectives of minimizing site explosive attack consequences and minimizing site construction costs. A case study of a hypothetical remote military base was analyzed to demonstrate the use of the model and display its unique capabilities.
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      Minimizing Consequences of Explosive Attacks on Remote Construction Sites

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4264704
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    contributor authorSteven Schuldt
    contributor authorKhaled El-Rayes
    contributor authorAhmet Soylemezoglu
    contributor authorNoah Garfinkle
    date accessioned2022-01-30T19:07:44Z
    date available2022-01-30T19:07:44Z
    date issued2020
    identifier other%28ASCE%29CF.1943-5509.0001354.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264704
    description abstractRemote construction sites, such as oil production facilities and military forward operating bases, are frequently targeted by explosive terrorist attacks. These attacks produce devastating and far-reaching consequences that can be grouped into four main categories: personnel loss, psychological impact, economic loss, and operational impact. Existing security models rely on time-consuming external blast analysis software packages to quantify the consequences of explosive attacks and therefore cannot be used to optimize the layout planning of remote construction sites. This paper developed a novel facility layout optimization model capable of directly quantifying blast consequences and generating optimal site layout plans and protection strategies. The model is implemented using multiobjective genetic algorithms to identify solutions that provide optimal tradeoffs between the competing objectives of minimizing site explosive attack consequences and minimizing site construction costs. A case study of a hypothetical remote military base was analyzed to demonstrate the use of the model and display its unique capabilities.
    publisherASCE
    titleMinimizing Consequences of Explosive Attacks on Remote Construction Sites
    typeJournal Paper
    journal volume34
    journal issue1
    journal titleJournal of Performance of Constructed Facilities
    identifier doi10.1061/(ASCE)CF.1943-5509.0001354
    page04019099
    treeJournal of Performance of Constructed Facilities:;2020:;Volume ( 034 ):;issue: 001
    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
    yabeshDSpacePersian