X-ray computed tomography-based direct numerical simulations for hydraulic characterization of pervious concrete

Autores
Rossler, Milagros; Battaglia, Laura; Kler, Pablo Alejandro
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The hydraulic characteristics of pervious concrete, and their correlation with manufacturing parameters such as mixture design and compaction, remain incompletely reported. This gap in current knowledge limits the ability to optimize the material for urban drainage components and other applications. This study addresses this issue by developing a methodology that integrates high-resolution X-ray computed tomography, image processing, and Direct Numerical Simulation (DNS) of incompressible water flow and electrical conductivity to determine key hydraulic parameters of pervious concrete. The numerical results enabled the quantification of relevant properties such as porosity, intrinsic permeability, and constriction factor, as well as the identification of prevailing flow regimes and the assessment of non-Darcian behavior. The results were consistent with values reported using more expensive and labor-intensive techniques, thereby validating the proposed approach. This methodology enables future analyses of multiple specimens produced with different manufacturing techniques, paving the way for establishing quantitative correlations between microstructural characteristics and hydraulic performance. This methodology provides a physically consistent and spatially detailed representation of water flow through the complex pore structure of pervious concrete. It offers valuable insights into the microscale hydraulic performance of the material and serves as a robust and reproducible framework for future analyses, design, and optimization of pervious concrete mixtures for urban drainage applications.
Fil: Rossler, Milagros. Universidad Tecnológica Nacional. Facultad Regional Santa Fe; Argentina
Fil: Battaglia, Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones en Métodos Computacionales. Universidad Nacional del Litoral. Centro de Investigaciones en Métodos Computacionales; Argentina
Fil: Kler, Pablo Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones en Métodos Computacionales. Universidad Nacional del Litoral. Centro de Investigaciones en Métodos Computacionales; Argentina
Materia
PERVIOUS CONCRETE
DNS SIMULATIONS
XCT
FINITE VOLUME
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/281961
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/281961
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling X-ray computed tomography-based direct numerical simulations for hydraulic characterization of pervious concreteRossler, MilagrosBattaglia, LauraKler, Pablo AlejandroPERVIOUS CONCRETEDNS SIMULATIONSXCTFINITE VOLUMEhttps://purl.org/becyt/ford/2.1https://purl.org/becyt/ford/2The hydraulic characteristics of pervious concrete, and their correlation with manufacturing parameters such as mixture design and compaction, remain incompletely reported. This gap in current knowledge limits the ability to optimize the material for urban drainage components and other applications. This study addresses this issue by developing a methodology that integrates high-resolution X-ray computed tomography, image processing, and Direct Numerical Simulation (DNS) of incompressible water flow and electrical conductivity to determine key hydraulic parameters of pervious concrete. The numerical results enabled the quantification of relevant properties such as porosity, intrinsic permeability, and constriction factor, as well as the identification of prevailing flow regimes and the assessment of non-Darcian behavior. The results were consistent with values reported using more expensive and labor-intensive techniques, thereby validating the proposed approach. This methodology enables future analyses of multiple specimens produced with different manufacturing techniques, paving the way for establishing quantitative correlations between microstructural characteristics and hydraulic performance. This methodology provides a physically consistent and spatially detailed representation of water flow through the complex pore structure of pervious concrete. It offers valuable insights into the microscale hydraulic performance of the material and serves as a robust and reproducible framework for future analyses, design, and optimization of pervious concrete mixtures for urban drainage applications.Fil: Rossler, Milagros. Universidad Tecnológica Nacional. Facultad Regional Santa Fe; ArgentinaFil: Battaglia, Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones en Métodos Computacionales. Universidad Nacional del Litoral. Centro de Investigaciones en Métodos Computacionales; ArgentinaFil: Kler, Pablo Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones en Métodos Computacionales. Universidad Nacional del Litoral. Centro de Investigaciones en Métodos Computacionales; ArgentinaElsevier2025-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/281961Rossler, Milagros; Battaglia, Laura; Kler, Pablo Alejandro; X-ray computed tomography-based direct numerical simulations for hydraulic characterization of pervious concrete; Elsevier; Construction And Building Materials; 498; 11-2025; 1-290950-0618CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0950061825040644info:eu-repo/semantics/altIdentifier/doi/10.1016/j.conbuildmat.2025.143913info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-03-31T14:45:25Zoai:ri.conicet.gov.ar:11336/281961instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-03-31 14:45:25.487CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv X-ray computed tomography-based direct numerical simulations for hydraulic characterization of pervious concrete
title X-ray computed tomography-based direct numerical simulations for hydraulic characterization of pervious concrete
spellingShingle X-ray computed tomography-based direct numerical simulations for hydraulic characterization of pervious concrete
Rossler, Milagros
PERVIOUS CONCRETE
DNS SIMULATIONS
XCT
FINITE VOLUME
title_short X-ray computed tomography-based direct numerical simulations for hydraulic characterization of pervious concrete
title_full X-ray computed tomography-based direct numerical simulations for hydraulic characterization of pervious concrete
title_fullStr X-ray computed tomography-based direct numerical simulations for hydraulic characterization of pervious concrete
title_full_unstemmed X-ray computed tomography-based direct numerical simulations for hydraulic characterization of pervious concrete
title_sort X-ray computed tomography-based direct numerical simulations for hydraulic characterization of pervious concrete
dc.creator.none.fl_str_mv Rossler, Milagros
Battaglia, Laura
Kler, Pablo Alejandro
author Rossler, Milagros
author_facet Rossler, Milagros
Battaglia, Laura
Kler, Pablo Alejandro
author_role author
author2 Battaglia, Laura
Kler, Pablo Alejandro
author2_role author
author
dc.subject.none.fl_str_mv PERVIOUS CONCRETE
DNS SIMULATIONS
XCT
FINITE VOLUME
topic PERVIOUS CONCRETE
DNS SIMULATIONS
XCT
FINITE VOLUME
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.1
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The hydraulic characteristics of pervious concrete, and their correlation with manufacturing parameters such as mixture design and compaction, remain incompletely reported. This gap in current knowledge limits the ability to optimize the material for urban drainage components and other applications. This study addresses this issue by developing a methodology that integrates high-resolution X-ray computed tomography, image processing, and Direct Numerical Simulation (DNS) of incompressible water flow and electrical conductivity to determine key hydraulic parameters of pervious concrete. The numerical results enabled the quantification of relevant properties such as porosity, intrinsic permeability, and constriction factor, as well as the identification of prevailing flow regimes and the assessment of non-Darcian behavior. The results were consistent with values reported using more expensive and labor-intensive techniques, thereby validating the proposed approach. This methodology enables future analyses of multiple specimens produced with different manufacturing techniques, paving the way for establishing quantitative correlations between microstructural characteristics and hydraulic performance. This methodology provides a physically consistent and spatially detailed representation of water flow through the complex pore structure of pervious concrete. It offers valuable insights into the microscale hydraulic performance of the material and serves as a robust and reproducible framework for future analyses, design, and optimization of pervious concrete mixtures for urban drainage applications.
Fil: Rossler, Milagros. Universidad Tecnológica Nacional. Facultad Regional Santa Fe; Argentina
Fil: Battaglia, Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones en Métodos Computacionales. Universidad Nacional del Litoral. Centro de Investigaciones en Métodos Computacionales; Argentina
Fil: Kler, Pablo Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones en Métodos Computacionales. Universidad Nacional del Litoral. Centro de Investigaciones en Métodos Computacionales; Argentina
description The hydraulic characteristics of pervious concrete, and their correlation with manufacturing parameters such as mixture design and compaction, remain incompletely reported. This gap in current knowledge limits the ability to optimize the material for urban drainage components and other applications. This study addresses this issue by developing a methodology that integrates high-resolution X-ray computed tomography, image processing, and Direct Numerical Simulation (DNS) of incompressible water flow and electrical conductivity to determine key hydraulic parameters of pervious concrete. The numerical results enabled the quantification of relevant properties such as porosity, intrinsic permeability, and constriction factor, as well as the identification of prevailing flow regimes and the assessment of non-Darcian behavior. The results were consistent with values reported using more expensive and labor-intensive techniques, thereby validating the proposed approach. This methodology enables future analyses of multiple specimens produced with different manufacturing techniques, paving the way for establishing quantitative correlations between microstructural characteristics and hydraulic performance. This methodology provides a physically consistent and spatially detailed representation of water flow through the complex pore structure of pervious concrete. It offers valuable insights into the microscale hydraulic performance of the material and serves as a robust and reproducible framework for future analyses, design, and optimization of pervious concrete mixtures for urban drainage applications.
publishDate 2025
dc.date.none.fl_str_mv 2025-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/281961
Rossler, Milagros; Battaglia, Laura; Kler, Pablo Alejandro; X-ray computed tomography-based direct numerical simulations for hydraulic characterization of pervious concrete; Elsevier; Construction And Building Materials; 498; 11-2025; 1-29
0950-0618
CONICET Digital
CONICET
url http://hdl.handle.net/11336/281961
identifier_str_mv Rossler, Milagros; Battaglia, Laura; Kler, Pablo Alejandro; X-ray computed tomography-based direct numerical simulations for hydraulic characterization of pervious concrete; Elsevier; Construction And Building Materials; 498; 11-2025; 1-29
0950-0618
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0950061825040644
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.conbuildmat.2025.143913
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.822162

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