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    Integrated Exploration of Building Shapes Based on Structural Performance

    Source: Journal of Computing in Civil Engineering:;2019:;Volume ( 033 ):;issue: 003
    Author:
    Tae-Hyun Kwon; Hwayeon Song
    DOI: 10.1061/(ASCE)CP.1943-5487.0000804
    Publisher: American Society of Civil Engineers
    Abstract: The design of buildings is an integrated process, from an exploration of multiple alternatives of building shapes to an evaluation of structural performance as well as an assessment of construction cost. The primary objective of this study is to propose an integrated framework to explore solid-type building shapes on the basis of their preliminary structural performance. The proposed framework is based on an evolutionary method using implicit redundant representation genetic algorithm (IRRGA) to search for building shapes, where objective functions are derived from synthesis of visual forms or intuitive reasoning in a similar way to how an architect makes decisions. The framework is supported by the following components: (1) transformation from a building shape to a structural model, (2) performance evaluation by structural analysis, and (3) total volume optimization as a cost feedback to assist in the selection of building shapes. The framework can help the architect to determine the acceptability of building shapes at the early stage of the design process.
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      Integrated Exploration of Building Shapes Based on Structural Performance

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    contributor authorTae-Hyun Kwon; Hwayeon Song
    date accessioned2019-03-10T12:02:22Z
    date available2019-03-10T12:02:22Z
    date issued2019
    identifier other%28ASCE%29CP.1943-5487.0000804.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4254721
    description abstractThe design of buildings is an integrated process, from an exploration of multiple alternatives of building shapes to an evaluation of structural performance as well as an assessment of construction cost. The primary objective of this study is to propose an integrated framework to explore solid-type building shapes on the basis of their preliminary structural performance. The proposed framework is based on an evolutionary method using implicit redundant representation genetic algorithm (IRRGA) to search for building shapes, where objective functions are derived from synthesis of visual forms or intuitive reasoning in a similar way to how an architect makes decisions. The framework is supported by the following components: (1) transformation from a building shape to a structural model, (2) performance evaluation by structural analysis, and (3) total volume optimization as a cost feedback to assist in the selection of building shapes. The framework can help the architect to determine the acceptability of building shapes at the early stage of the design process.
    publisherAmerican Society of Civil Engineers
    titleIntegrated Exploration of Building Shapes Based on Structural Performance
    typeJournal Paper
    journal volume33
    journal issue3
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)CP.1943-5487.0000804
    page04019006
    treeJournal of Computing in Civil Engineering:;2019:;Volume ( 033 ):;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
    yabeshDSpacePersian