Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Klimczak, Marek, Jaworska, Irena, Tekieli, Marcin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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
_version_ 1784776210165792768
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
work_keys_str_mv AT klimczakmarek 2ddigitalreconstructionofasphaltconcretemicrostructurefornumericalmodelingpurposes
AT jaworskairena 2ddigitalreconstructionofasphaltconcretemicrostructurefornumericalmodelingpurposes
AT tekielimarcin 2ddigitalreconstructionofasphaltconcretemicrostructurefornumericalmodelingpurposes