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2D Digital Reconstruction of Asphalt Concrete Microstructure for Numerical Modeling Purposes
In this paper, we deal with the issue of asphalt concrete microstructure recognition for further numerical analysis. An efficient reconstruction of the underlying microstructure makes the composite analysis more reliable. We propose for this purpose a methodology based on the image processing and fo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415350/ https://www.ncbi.nlm.nih.gov/pubmed/36013687 http://dx.doi.org/10.3390/ma15165553 |
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author | Klimczak, Marek Jaworska, Irena Tekieli, Marcin |
author_facet | Klimczak, Marek Jaworska, Irena Tekieli, Marcin |
author_sort | Klimczak, Marek |
collection | PubMed |
description | In this paper, we deal with the issue of asphalt concrete microstructure recognition for further numerical analysis. An efficient reconstruction of the underlying microstructure makes the composite analysis more reliable. We propose for this purpose a methodology based on the image processing and focus on a two-dimensional case (it can be easily used as a part of the 3D geometry reconstruction, however). Initially obtained geometry of the inclusions is further simplified to reduce the cost of the finite element mesh generation. Three straightforward geometry simplification algorithms are used to perform this process in a controlled way. Subsequently, we present the solutions of two problems, i.e., heat flow and elasticity (plane strain), in order to illustrate the effectiveness of the whole elaborated methodology. The numerical results were obtained using the finite element method. Consequently, an error analysis is demonstrated in order to refer the overkill mesh solutions to the ones presented in this study. The main finding of this paper is the efficient methodology dedicated to a digital reconstruction of the asphalt concrete microstructure by the image processing. It can be also extended to other materials exhibiting similar microstructure. |
format | Online Article Text |
id | pubmed-9415350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94153502022-08-27 2D Digital Reconstruction of Asphalt Concrete Microstructure for Numerical Modeling Purposes Klimczak, Marek Jaworska, Irena Tekieli, Marcin Materials (Basel) Article In this paper, we deal with the issue of asphalt concrete microstructure recognition for further numerical analysis. An efficient reconstruction of the underlying microstructure makes the composite analysis more reliable. We propose for this purpose a methodology based on the image processing and focus on a two-dimensional case (it can be easily used as a part of the 3D geometry reconstruction, however). Initially obtained geometry of the inclusions is further simplified to reduce the cost of the finite element mesh generation. Three straightforward geometry simplification algorithms are used to perform this process in a controlled way. Subsequently, we present the solutions of two problems, i.e., heat flow and elasticity (plane strain), in order to illustrate the effectiveness of the whole elaborated methodology. The numerical results were obtained using the finite element method. Consequently, an error analysis is demonstrated in order to refer the overkill mesh solutions to the ones presented in this study. The main finding of this paper is the efficient methodology dedicated to a digital reconstruction of the asphalt concrete microstructure by the image processing. It can be also extended to other materials exhibiting similar microstructure. MDPI 2022-08-12 /pmc/articles/PMC9415350/ /pubmed/36013687 http://dx.doi.org/10.3390/ma15165553 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Klimczak, Marek Jaworska, Irena Tekieli, Marcin 2D Digital Reconstruction of Asphalt Concrete Microstructure for Numerical Modeling Purposes |
title | 2D Digital Reconstruction of Asphalt Concrete Microstructure for Numerical Modeling Purposes |
title_full | 2D Digital Reconstruction of Asphalt Concrete Microstructure for Numerical Modeling Purposes |
title_fullStr | 2D Digital Reconstruction of Asphalt Concrete Microstructure for Numerical Modeling Purposes |
title_full_unstemmed | 2D Digital Reconstruction of Asphalt Concrete Microstructure for Numerical Modeling Purposes |
title_short | 2D Digital Reconstruction of Asphalt Concrete Microstructure for Numerical Modeling Purposes |
title_sort | 2d digital reconstruction of asphalt concrete microstructure for numerical modeling purposes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415350/ https://www.ncbi.nlm.nih.gov/pubmed/36013687 http://dx.doi.org/10.3390/ma15165553 |
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