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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-archives-XLII-2-W15-843-2019</article-id>
<title-group>
<article-title>UNDERSTANDING THE EFFECTS OF DOCUMENTATION DETAIL ON DIAGNOSTICS
OF HISTORIC STRUCTURES</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Napolitano</surname>
<given-names>R. K.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hess</surname>
<given-names>M.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Glisic</surname>
<given-names>B.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Princeton University, Department of Civil and Environmental Engineering, 59 Olden Street, Princeton, NJ, USA</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>University of California San Diego, Department of Structural Engineering, Mail Code 0085, 9500 Gilman Drive, La Jolla, CA, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>23</day>
<month>08</month>
<year>2019</year>
</pub-date>
<volume>XLII-2/W15</volume>
<fpage>843</fpage>
<lpage>848</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2019 R. K. Napolitano et al.</copyright-statement>
<copyright-year>2019</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLII-2-W15/843/2019/isprs-archives-XLII-2-W15-843-2019.html">This article is available from https://isprs-archives.copernicus.org/articles/XLII-2-W15/843/2019/isprs-archives-XLII-2-W15-843-2019.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLII-2-W15/843/2019/isprs-archives-XLII-2-W15-843-2019.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLII-2-W15/843/2019/isprs-archives-XLII-2-W15-843-2019.pdf</self-uri>
<abstract>
<p>&lt;p&gt;Before reinforcements or new construction are added to historic structures, it is important to understand how the existing damage could
have arisen. Often to do this, documentation methods such as laser scanning and photogrammetry are used to capture the existing
conditions and physics-based models are used to simulate the response of a facsimile structure to various responses. Something that
varies quite a bit though is the level of detail used to capture the existing conditions as well as the level of detail used to represent the
structure during physics-based modelling. This paper aims to understand the effects of documentation detail on diagnostics of historic
structures. To do this, two masonry structures were documented with laser scanners, photographs, and thermal images. For each case
study, three-dimensional models of varying fidelity were generated based on the results of simulation. The response of these models to
loading conditions was then calculated using a physics-based modelling technique called finite-distinct element modelling. The results
for each case study are compared to understand the impacts of geometry on diagnostics; discussion about future tools to augment
current practices is included.&lt;/p&gt;</p>
</abstract>
<counts><page-count count="6"/></counts>
</article-meta>
</front>
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