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        <identifier>oai:it-hiroshima.repo.nii.ac.jp:00000202</identifier>
        <datestamp>2023-07-25T10:55:38Z</datestamp>
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          <dc:title>構造力学における現象のイメージ化教育</dc:title>
          <dc:title>Education to Develop Ability to Image Mechanical Phenomena in Structural Mehcanics</dc:title>
          <dc:creator>浅野, 照雄</dc:creator>
          <dc:creator>アサノ, テルオ</dc:creator>
          <dc:creator>岩井, 哲</dc:creator>
          <dc:creator>イワイ, サトシ</dc:creator>
          <dc:creator>Asano, Teruo</dc:creator>
          <dc:creator>Iwai, Satoshi</dc:creator>
          <dc:subject>501.34</dc:subject>
          <dc:subject>Structural Mechanics</dc:subject>
          <dc:subject>Education</dc:subject>
          <dc:subject>Computer Visualization</dc:subject>
          <dc:subject>Image</dc:subject>
          <dc:subject>Experiment</dc:subject>
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          <dc:description>Structural mechanics is nominated as a difficult subject to be hard to understand for a student，however we think as one of the reasons that students lack for ability to image a mechanical phenomena. This paper describes about the ideas and application of program software to make students to bring up their ability to image mechanical phenomenon by computer visualization and the results applied it to the structural mechanics education. The new developed system shows to visualize comparably such as deformation，bending moment and bending stress distribution over a whole structure member，and compare them with those of another kinds of structure form or loading，and the application to the education resulted that students understand with more precision in imaging the mechanical phenomena</dc:description>
          <dc:description>departmental bulletin paper</dc:description>
          <dc:publisher>広島工業大学</dc:publisher>
          <dc:date>2003-02</dc:date>
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          <dc:identifier>広島工業大学紀要. 教育編</dc:identifier>
          <dc:identifier>02</dc:identifier>
          <dc:identifier>23</dc:identifier>
          <dc:identifier>30</dc:identifier>
          <dc:identifier>AA11599121</dc:identifier>
          <dc:identifier>13469983</dc:identifier>
          <dc:identifier>https://it-hiroshima.repo.nii.ac.jp/record/202/files/daigakukiyo2023.pdf</dc:identifier>
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          <dc:language>jpn</dc:language>
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