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    Automatic Conversion of Visually Consistent Digital Maps to Conforming Geometry for Computational Fluid Dynamics

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 002
    Author:
    Takahiro Kawaguchi
    ,
    Kenji Oguni
    DOI: 10.1061/(ASCE)CP.1943-5487.0000473
    Publisher: American Society of Civil Engineers
    Abstract: A method for automatic conversion of three-dimensional (3D) digital maps for visual purposes to a conforming geometry for city-scale computational fluid dynamics (CFD) is proposed in this paper. Difficulties in automatic conversion of visually consistent 3D digital maps to a finite-element mesh for city-scale CFD are as follows: (1) representation of the buildings without consistent topological information, (2) independent and inconsistent layers for buildings and the ground surface, and (3) existence of unnecessary and spontaneous minor gaps on the building surface. The proposed automatic conversion method resolves all these problems by a combination of conventional algorithms for computational geometry. The major contribution of this paper is not a proposal of new algorithms in computational geometry but includes the following: (1) clear definition of the problems in automatic conversion of 3D digital maps for visual purposes to the analysis domain for city-scale CFD, and (2) proposal of a solution for the given problems as a combination of existing algorithms. In this paper, problems in 3D digital maps for visual purposes as input data for generating a finite-element mesh for city-scale CFD are discussed. Also, the automatic conversion process and illustrative examples of mesh generation with a city-scale CFD simulation are described in detail.
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      Automatic Conversion of Visually Consistent Digital Maps to Conforming Geometry for Computational Fluid Dynamics

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    http://yetl.yabesh.ir/yetl1/handle/yetl/79601
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    contributor authorTakahiro Kawaguchi
    contributor authorKenji Oguni
    date accessioned2017-05-08T22:23:48Z
    date available2017-05-08T22:23:48Z
    date copyrightMarch 2016
    date issued2016
    identifier other44024003.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/79601
    description abstractA method for automatic conversion of three-dimensional (3D) digital maps for visual purposes to a conforming geometry for city-scale computational fluid dynamics (CFD) is proposed in this paper. Difficulties in automatic conversion of visually consistent 3D digital maps to a finite-element mesh for city-scale CFD are as follows: (1) representation of the buildings without consistent topological information, (2) independent and inconsistent layers for buildings and the ground surface, and (3) existence of unnecessary and spontaneous minor gaps on the building surface. The proposed automatic conversion method resolves all these problems by a combination of conventional algorithms for computational geometry. The major contribution of this paper is not a proposal of new algorithms in computational geometry but includes the following: (1) clear definition of the problems in automatic conversion of 3D digital maps for visual purposes to the analysis domain for city-scale CFD, and (2) proposal of a solution for the given problems as a combination of existing algorithms. In this paper, problems in 3D digital maps for visual purposes as input data for generating a finite-element mesh for city-scale CFD are discussed. Also, the automatic conversion process and illustrative examples of mesh generation with a city-scale CFD simulation are described in detail.
    publisherAmerican Society of Civil Engineers
    titleAutomatic Conversion of Visually Consistent Digital Maps to Conforming Geometry for Computational Fluid Dynamics
    typeJournal Paper
    journal volume30
    journal issue2
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)CP.1943-5487.0000473
    treeJournal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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