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Random Material Property Fields of 3D Concrete Microstructures Based on CT Image Reconstruction

The purpose of this paper is to determine the random spatially varying elastic properties of concrete at various scales taking into account its highly heterogeneous microstructure. The reconstruction of concrete microstructure is based on computed tomography (CT) images of a cubic concrete specimen....

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Detalles Bibliográficos
Autores principales: Stefanou, George, Savvas, Dimitrios, Metsis, Panagiotis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999405/
https://www.ncbi.nlm.nih.gov/pubmed/33804086
http://dx.doi.org/10.3390/ma14061423
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author Stefanou, George
Savvas, Dimitrios
Metsis, Panagiotis
author_facet Stefanou, George
Savvas, Dimitrios
Metsis, Panagiotis
author_sort Stefanou, George
collection PubMed
description The purpose of this paper is to determine the random spatially varying elastic properties of concrete at various scales taking into account its highly heterogeneous microstructure. The reconstruction of concrete microstructure is based on computed tomography (CT) images of a cubic concrete specimen. The variability of the local volume fraction of the constituents (pores, cement paste and aggregates) is quantified and mesoscale random fields of the elasticity tensor are computed from a number of statistical volume elements obtained by applying the moving window method on the specimen along with computational homogenization. Based on the statistical characteristics of the mesoscale random fields, it is possible to assess the effect of randomness in microstructure on the mechanical behavior of concrete.
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spelling pubmed-79994052021-03-28 Random Material Property Fields of 3D Concrete Microstructures Based on CT Image Reconstruction Stefanou, George Savvas, Dimitrios Metsis, Panagiotis Materials (Basel) Article The purpose of this paper is to determine the random spatially varying elastic properties of concrete at various scales taking into account its highly heterogeneous microstructure. The reconstruction of concrete microstructure is based on computed tomography (CT) images of a cubic concrete specimen. The variability of the local volume fraction of the constituents (pores, cement paste and aggregates) is quantified and mesoscale random fields of the elasticity tensor are computed from a number of statistical volume elements obtained by applying the moving window method on the specimen along with computational homogenization. Based on the statistical characteristics of the mesoscale random fields, it is possible to assess the effect of randomness in microstructure on the mechanical behavior of concrete. MDPI 2021-03-15 /pmc/articles/PMC7999405/ /pubmed/33804086 http://dx.doi.org/10.3390/ma14061423 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Stefanou, George
Savvas, Dimitrios
Metsis, Panagiotis
Random Material Property Fields of 3D Concrete Microstructures Based on CT Image Reconstruction
title Random Material Property Fields of 3D Concrete Microstructures Based on CT Image Reconstruction
title_full Random Material Property Fields of 3D Concrete Microstructures Based on CT Image Reconstruction
title_fullStr Random Material Property Fields of 3D Concrete Microstructures Based on CT Image Reconstruction
title_full_unstemmed Random Material Property Fields of 3D Concrete Microstructures Based on CT Image Reconstruction
title_short Random Material Property Fields of 3D Concrete Microstructures Based on CT Image Reconstruction
title_sort random material property fields of 3d concrete microstructures based on ct image reconstruction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999405/
https://www.ncbi.nlm.nih.gov/pubmed/33804086
http://dx.doi.org/10.3390/ma14061423
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