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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ESurfD</journal-id>
<journal-title-group>
<journal-title>Earth Surface Dynamics Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">ESurfD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Earth Surf. Dynam. Discuss.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2196-6338</issn>
<publisher><publisher-name></publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/esurf-2019-17</article-id>
<title-group>
<article-title>Shallow landslides modeling using a particle finite element model with emphasis on landslide evolution</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wang</surname>
<given-names>Liang</given-names>
<ext-link>https://orcid.org/0000-0002-2663-623X</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>Zhang</surname>
<given-names>Xue</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>Tinti</surname>
<given-names>Stefano</given-names>
<ext-link>https://orcid.org/0000-0002-5750-1258</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Dipartimento di Fisica e Astronomia (DIFA), Settore di Geofisca, Università di Bologna, Viale Berti Pichat 8, 40127</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Department of Civil Engineering and Industrial Design, University of Liverpool, Liverpool, UK</addr-line>
</aff>
<funding-group>
<award-group id="gs1">
<funding-source>China Scholarship Council</funding-source>
<award-id>201606060161</award-id>
</award-group>
</funding-group>
<pub-date pub-type="epub">
<day>06</day>
<month>05</month>
<year>2019</year>
</pub-date>
<volume>2019</volume>
<fpage>1</fpage>
<lpage>19</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2019 Liang Wang 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://esurf.copernicus.org/preprints/esurf-2019-17/">This article is available from https://esurf.copernicus.org/preprints/esurf-2019-17/</self-uri>
<self-uri xlink:href="https://esurf.copernicus.org/preprints/esurf-2019-17/esurf-2019-17.pdf">The full text article is available as a PDF file from https://esurf.copernicus.org/preprints/esurf-2019-17/esurf-2019-17.pdf</self-uri>
<abstract>
<p>&lt;p&gt;Numerical modelling is a powerful tool to study the mechanism of landslides and constructs the foundation of many physically-based assessment methods applied to natural hazards. Usually, numerical analyses of landslides are carried out on the failure mechanism and on the propagation process separately. With the advantage of dealing with large deformation problems, the particle finite element method (PFEM), that is the particle extension of the traditional FEM, has the capability of simulating the entire evolution of the landslide from the generation to the deposition phase. To figure out the difference between a unified PFEM simulation and the usually adopted approaches that separate failure mechanism (static analysis) and run-out analysis (dynamic analysis), we implement a PFEM code that is applied first to a simple homogeneous slope model. Numerical results reveal that under the so-called critical condition the landslide comes to a stop with a slight modification of the original profile, while its profile is drastically changed if strength reduction is further applied. To test the capability of our model, we choose the 2013 Cà Mengoni landslide, northern Apennines, Italy, as a case study, since it behaved as if it were formed by homogeneous material. In virtue of the back-analysis of the run-out distance that we perform by using different material strength parameters, we show that the PFEM model is able to capture the variation of the observed landslide profile, and contributes to the understanding of the dynamics of the whole sliding process.&lt;/p&gt;</p>
</abstract>
<counts><page-count count="19"/></counts>
</article-meta>
</front>
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