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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-W15-957-2019</article-id>
<title-group>
<article-title>FROM TLS TO FE ANALYSIS: POINTS CLOUD EXPLOITATION FOR STRUCTURAL
BEHAVIOUR DEFINITION. THE SAN CIRIACO’S BELL TOWER</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Quattrini</surname>
<given-names>R.</given-names>
<ext-link>https://orcid.org/0000-0001-5637-6582</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Clementi</surname>
<given-names>F.</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>Lucidi</surname>
<given-names>A.</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>Giannetti</surname>
<given-names>S.</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>Santoni</surname>
<given-names>A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>DICEA, Department of Civil Engineering and Architecture, Polytechnic University of Marche, Ancona, Italy</addr-line>
</aff>
<pub-date pub-type="epub">
<day>26</day>
<month>08</month>
<year>2019</year>
</pub-date>
<volume>XLII-2/W15</volume>
<fpage>957</fpage>
<lpage>964</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2019 R. Quattrini 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-W15/957/2019/isprs-archives-XLII-2-W15-957-2019.html">This article is available from https://isprs-archives.copernicus.org/articles/XLII-2-W15/957/2019/isprs-archives-XLII-2-W15-957-2019.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLII-2-W15/957/2019/isprs-archives-XLII-2-W15-957-2019.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLII-2-W15/957/2019/isprs-archives-XLII-2-W15-957-2019.pdf</self-uri>
<abstract>
<p>&lt;p&gt;In the last few years, the evolution of acquisition techniques allowed to acquire reality-based models increasing accurate and rich of
information. On the contrary, the ability to exploit the acquired data in the most efficient, economic (in terms of invested time), and
impartial way (in terms of arbitrary choices of the operator) represents the most significant gap. Interoperability theme between points
cloud and informative systems becomes relevant. Excellent results were achieved in 3D data exploitation in HBIM and GIS
environments, as well as in VR and AR applications, whereas the structural analysis with the Finite Element Method (FEM) still lacks
robust workflows based on point clouds. The present paper proposes a methodology allowing to transform the TLS point cloud obtained
from the survey directly into a 3D FEM, in a semi-automatic way and, therefore, proposes a hybrid reverse engineering approach that
aims to: (i) maximizing the correspondence between the model for structural analysis and the real object; (ii) minimizing the time and
the operator’s decision. The strategy is validated on the belfry of the Metropolitan Cathedral-Basilica of Saint Cyriacus in Ancona,
Central Italy. The reliability of the proposed model is assessed through a comparison between the model obtained from the Boolean
modelling within a FEM software and the model obtained directly from points cloud processing. The comparison between the two
numerical models highlights the enormous potential of the exposed method. The proposed case study shows how it is possible to
develop high-quality 3D models, able to connect geometrical-historical survey with thematic analysis about structural behavior.&lt;/p&gt;</p>
</abstract>
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