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<dc:title xml:lang="pl"><![CDATA[Probabilistic mesoscale analysis of concrete beams subjected to flexure]]></dc:title>
<dc:creator><![CDATA[Al-Jelawy, Haider M.]]></dc:creator>
<dc:creator><![CDATA[Al-Rumaithi, Ayad]]></dc:creator>
<dc:creator><![CDATA[Fadhil, Aqeel T.]]></dc:creator>
<dc:creator><![CDATA[Al-Sherrawi, Mohannad H.]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[concrete beam]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[flexure]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[grading curve]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[mesoscale]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[probabilistic analysis]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[uncertainty]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[In this paper, the probabilistic behavior of plain concrete beams subjected to flexure is studied using a continuous mesoscale model. The model is two-dimensional where aggregate and mortar are treated as separate constituents having their own characteristic properties. The aggregate is represented as ellipses and generated under prescribed grading curves.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[Ellipses are randomly placed so it requires probabilistic analysis for model using the Monte Carlo simulation with 20 realizations to represent geometry uncertainty. The nonlinear behavior is simulated with an isotropic damage model for the mortar, while the aggregate is assumed to be elastic.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[The isotropic damage model softening behavior is defined in terms of fracture mechanics parameters. This damage model is compared with the fixed crack model in macroscale study before using it in the mesoscale model. Then, it is used in the mesoscale model to simulate flexure test and compared to experimental data and shows a good agreement.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[The probabilistic behavior of the model response is presented through the standard deviation, moment parameters and cumulative probability density functions in different loading stages. It shows variation of the probabilistic characteristics between pre-peak and post-peak behaviour of load-CMOD curves.]]></dc:description>
<dc:publisher><![CDATA[Zielona Góra: Uniwersytet Zielonogórski]]></dc:publisher>
<dc:contributor><![CDATA[Jurczak, Paweł - red.]]></dc:contributor>
<dc:date><![CDATA[2021]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[artykuł]]></dc:type>
<dc:format xml:lang="pl"><![CDATA[application/pdf]]></dc:format>
<dc:identifier><![CDATA[http://www.zbc.uz.zgora.pl/repozytorium/Content/69438/10.2478_ijame-2021-0032.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/repozytorium/dlibra/publication/77625/edition/69438/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:69438]]></dc:identifier>
<dc:source xml:lang="pl"><![CDATA[IJAME, volume 26, number 3 (2021)]]></dc:source>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:77625]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
<dc:rights xml:lang="pl"><![CDATA[CC 4.0]]></dc:rights>
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