October 7, 2019 Software Open Access

Charles Wang; Frank McKenna

DataCite XML Export

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  <identifier identifierType="DOI">10.5281/zenodo.3475481</identifier>
  <creators>
    <creator>
      <creatorName>Charles Wang</creatorName>
      <affiliation>University of California, Berkeley</affiliation>
    </creator>
    <creator>
      <creatorName>Frank McKenna</creatorName>
      <affiliation>University of California, Berkeley</affiliation>
    </creator>
  </creators>
  <titles>
    <title>NHERI-SimCenter/SWIM: Release v1.0.1</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <dates>
    <date dateType="Issued">2019-10-07</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3475481</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/NHERI-SimCenter/SWIM/tree/v1.0.1</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3466375</relatedIdentifier>
  </relatedIdentifiers>
  <version>v1.0.1</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This application will allow the user to explore how different modeling assumptions affect the response of a concrete shear wall element and how the simulated response compares with actual experimental data. Machine learning algorithms are inserted into the backend to help users choose reasonable parameters for the model.&amp;nbsp;&lt;/p&gt;</description>
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