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        <title type="main" level="a">Construction of a Practical Finite Element Model from Point Cloud Data for an Existing Steel Truss Bridge</title>
        <author>
          <persName n="1">
            <forename>Nao</forename>
            <surname>Hidaka</surname>
            <placeName type="affiliation">Nagoya Institute of Technology, Japan</placeName>
          </persName>
          <persName n="2">
            <forename>Naofumi</forename>
            <surname>Hashimoto</surname>
            <placeName type="affiliation">Nagoya Institute of Technology, Japan</placeName>
          </persName>
          <persName n="3">
            <forename>Tetsuya</forename>
            <surname>Nonaka</surname>
            <placeName type="affiliation">Nagoya Institute of Technology, Japan</placeName>
          </persName>
          <persName n="4">
            <forename>Makoto</forename>
            <surname>Obata</surname>
            <placeName type="affiliation">Nagoya Institute of Technology, Japan</placeName>
          </persName>
          <persName n="5">
            <forename>Kazuya</forename>
            <surname>Magoshi</surname>
            <placeName type="affiliation">Earthquake Engineering Research Center Inc., Japan</placeName>
          </persName>
          <persName n="6">
            <forename>Ei</forename>
            <surname>Watanabe</surname>
            <placeName type="affiliation">Aichi Prefectural Government, Japan</placeName>
          </persName>
        </author>
        <respStmt>
          <resp>This is a section of <title>CONVR 2023 - Proceedings of the 23rd International Conference on  Construction Applications of Virtual Reality </title>(DOI: <idno type="DOI">10.36253/979-12-215-0289-3</idno>) by </resp>
          <name>Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi</name>
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      <publicationStmt>
        <publisher>Firenze University Press</publisher>
        <pubPlace>Florence</pubPlace>
        <date when="2023">2023</date>
        <idno type="DOI">https://doi.org/10.36253/10.36253/979-12-215-0289-3.114</idno>
        <availability>
          <p>Available for academic research purposes</p>
          <p>Open Access</p>
          <p>Copyright Author(s)</p>
          <licence source="text" target="https://creativecommons.org/licenses/by-nc/4.0/legalcode">
            <p>Content licence CC BY-NC 4.0</p>
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            <p>Metadata licence CC0 1.0</p>
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        <p>This is original content, published for academic research purposes</p>
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      <abstract xml:lang="en">
        <p>The objective of this paper is to develop a semi-automatic method for constructing a practical finite element model from point cloud data of an entire span of a through-type steel truss bridge. In the first step, we introduced practical finite element models for truss bridges based on structural experiments and numerical analyses of a sway bracing located at the end support. We also proposed a basic method for semi-automatically constructing a finite element model of a sway bracing using point cloud data. This method was then extended for an entire of steel truss bridge. The point cloud data is converted to individual data structures which, in turn, are connected to construct a whole structure. The main members, such as upper chords, lower chords, and diagonals, are converted to fiber-based models by automatically creating central axis lines and cross-sections from the point cloud. The slab is converted to shell models by obtaining surfaces and thickness from the point cloud. The effectiveness of the proposed method was confirmed by comparing the analysis results from the finite element model manually created from the design drawing (drawing-model) with those obtained from the model generated by this method (point-cloud-model). The proposed method is more efficient than reading drawings and creating the models manually, and it was confirmed that the point-cloud-model shows response values close to those of the drawing-model within the design load. However, the reproducibility of the response values with more than the design load remains an issue, which can be solved by tuning plate thickness</p>
      </abstract>
      <textClass>
        <keywords>
          <list>
            <item>Point Cloud</item>
            <item>Fiber-based model</item>
            <item>Steel Truss Bridge</item>
            <item>Structural Analysis Model</item>
            <item>Semi-Automatic Method</item>
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      <p>It is available online at https://doi.org/10.36253/10.36253/979-12-215-0289-3.114<ref target="https://doi.org/10.36253/10.36253/979-12-215-0289-3.114" /></p>
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