How does a patchy network affect the structure of invading percolation patterns?
- Autores
- López, Raúl Horacio; Vidales, Ana Maria; Domínguez Ortiz, A.; Zgrablich, Jorge Andres
- Año de publicación
- 2007
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Invasion percolation with trapping (TIP) is studied on two kinds of pore networks. The first class of them is the one generated through the dual site bond model [I. Kornhauser, R.J. Faccio, J.L. Riccardo, F. Rojas, A.M. Vidales, G. Zgrablich, Structure characterization of disordered porous media, Fractals 5 (3) (1997) 355–377; S. Cordero, I. Kornhauser, A. Dominguez, C. Felipe, J.M. Esparza, F. Rojas, R.H. Lopez, A.M. Vidales, J.L. ´ Riccardo, G. Zgrablich, Site–bond network modeling of disordered porous media, Part. Part. Syst. Charact. 21 (2004) 101–116] (DSBM). This model allows different strengths of correlations among the elements of the lattice in such a way that patches of sites and bonds with similar sizes are structured as correlations are set up. The typical size of these patches depends on the strength of correlations. The other class is a set of networks with a chessboard-like structure, i.e., patches are the “black” and “white” squares of a chessboard. Each square is made with bonds of similar sizes sampled from the same bond distribution. Black squares have sites sampled from the lower half part of the site distribution and sites in white squares belong to the other half. When a network is built, both models have the constraint imposed by a construction principle (CP) that forbids a bond to be greater than any of the sites to which it is connected. This is a common used assumption in modeling porous networks. The aim of this paper is to find whether the global patchy structure is responsible of the patterns found in TIP, or it is the local constraint imposed by the CP, which prevails. To this end, we measure different quantities, such as fractal dimensions, trapped fluid island distributions and invaded volume ratio, among others.
Fil: López, Raúl Horacio. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; Argentina
Fil: Vidales, Ana Maria. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; Argentina
Fil: Domínguez Ortiz, A.. Universidad Autónoma de Madrid; España
Fil: Zgrablich, Jorge Andres. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; Argentina - Materia
-
CORRELATIONS
CRITICAL EXPONENTS
INVASION PERCOLATION
POROUS MEDIA - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/141729
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How does a patchy network affect the structure of invading percolation patterns?López, Raúl HoracioVidales, Ana MariaDomínguez Ortiz, A.Zgrablich, Jorge AndresCORRELATIONSCRITICAL EXPONENTSINVASION PERCOLATIONPOROUS MEDIAhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Invasion percolation with trapping (TIP) is studied on two kinds of pore networks. The first class of them is the one generated through the dual site bond model [I. Kornhauser, R.J. Faccio, J.L. Riccardo, F. Rojas, A.M. Vidales, G. Zgrablich, Structure characterization of disordered porous media, Fractals 5 (3) (1997) 355–377; S. Cordero, I. Kornhauser, A. Dominguez, C. Felipe, J.M. Esparza, F. Rojas, R.H. Lopez, A.M. Vidales, J.L. ´ Riccardo, G. Zgrablich, Site–bond network modeling of disordered porous media, Part. Part. Syst. Charact. 21 (2004) 101–116] (DSBM). This model allows different strengths of correlations among the elements of the lattice in such a way that patches of sites and bonds with similar sizes are structured as correlations are set up. The typical size of these patches depends on the strength of correlations. The other class is a set of networks with a chessboard-like structure, i.e., patches are the “black” and “white” squares of a chessboard. Each square is made with bonds of similar sizes sampled from the same bond distribution. Black squares have sites sampled from the lower half part of the site distribution and sites in white squares belong to the other half. When a network is built, both models have the constraint imposed by a construction principle (CP) that forbids a bond to be greater than any of the sites to which it is connected. This is a common used assumption in modeling porous networks. The aim of this paper is to find whether the global patchy structure is responsible of the patterns found in TIP, or it is the local constraint imposed by the CP, which prevails. To this end, we measure different quantities, such as fractal dimensions, trapped fluid island distributions and invaded volume ratio, among others.Fil: López, Raúl Horacio. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; ArgentinaFil: Vidales, Ana Maria. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; ArgentinaFil: Domínguez Ortiz, A.. Universidad Autónoma de Madrid; EspañaFil: Zgrablich, Jorge Andres. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; ArgentinaElsevier Science2007-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/141729López, Raúl Horacio; Vidales, Ana Maria; Domínguez Ortiz, A.; Zgrablich, Jorge Andres; How does a patchy network affect the structure of invading percolation patterns?; Elsevier Science; Colloids and Surfaces A: Physicochemical and Engineering Aspects; 300; 1-2 SPEC. ISS.; 1-6-2007; 122-1280927-77571873-4359CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0927775706008351info:eu-repo/semantics/altIdentifier/doi/10.1016/j.colsurfa.2006.10.067info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:42:14Zoai:ri.conicet.gov.ar:11336/141729instacron: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:34982025-10-22 11:42:14.378CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
How does a patchy network affect the structure of invading percolation patterns? |
| title |
How does a patchy network affect the structure of invading percolation patterns? |
| spellingShingle |
How does a patchy network affect the structure of invading percolation patterns? López, Raúl Horacio CORRELATIONS CRITICAL EXPONENTS INVASION PERCOLATION POROUS MEDIA |
| title_short |
How does a patchy network affect the structure of invading percolation patterns? |
| title_full |
How does a patchy network affect the structure of invading percolation patterns? |
| title_fullStr |
How does a patchy network affect the structure of invading percolation patterns? |
| title_full_unstemmed |
How does a patchy network affect the structure of invading percolation patterns? |
| title_sort |
How does a patchy network affect the structure of invading percolation patterns? |
| dc.creator.none.fl_str_mv |
López, Raúl Horacio Vidales, Ana Maria Domínguez Ortiz, A. Zgrablich, Jorge Andres |
| author |
López, Raúl Horacio |
| author_facet |
López, Raúl Horacio Vidales, Ana Maria Domínguez Ortiz, A. Zgrablich, Jorge Andres |
| author_role |
author |
| author2 |
Vidales, Ana Maria Domínguez Ortiz, A. Zgrablich, Jorge Andres |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
CORRELATIONS CRITICAL EXPONENTS INVASION PERCOLATION POROUS MEDIA |
| topic |
CORRELATIONS CRITICAL EXPONENTS INVASION PERCOLATION POROUS MEDIA |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.4 https://purl.org/becyt/ford/1 |
| dc.description.none.fl_txt_mv |
Invasion percolation with trapping (TIP) is studied on two kinds of pore networks. The first class of them is the one generated through the dual site bond model [I. Kornhauser, R.J. Faccio, J.L. Riccardo, F. Rojas, A.M. Vidales, G. Zgrablich, Structure characterization of disordered porous media, Fractals 5 (3) (1997) 355–377; S. Cordero, I. Kornhauser, A. Dominguez, C. Felipe, J.M. Esparza, F. Rojas, R.H. Lopez, A.M. Vidales, J.L. ´ Riccardo, G. Zgrablich, Site–bond network modeling of disordered porous media, Part. Part. Syst. Charact. 21 (2004) 101–116] (DSBM). This model allows different strengths of correlations among the elements of the lattice in such a way that patches of sites and bonds with similar sizes are structured as correlations are set up. The typical size of these patches depends on the strength of correlations. The other class is a set of networks with a chessboard-like structure, i.e., patches are the “black” and “white” squares of a chessboard. Each square is made with bonds of similar sizes sampled from the same bond distribution. Black squares have sites sampled from the lower half part of the site distribution and sites in white squares belong to the other half. When a network is built, both models have the constraint imposed by a construction principle (CP) that forbids a bond to be greater than any of the sites to which it is connected. This is a common used assumption in modeling porous networks. The aim of this paper is to find whether the global patchy structure is responsible of the patterns found in TIP, or it is the local constraint imposed by the CP, which prevails. To this end, we measure different quantities, such as fractal dimensions, trapped fluid island distributions and invaded volume ratio, among others. Fil: López, Raúl Horacio. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; Argentina Fil: Vidales, Ana Maria. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; Argentina Fil: Domínguez Ortiz, A.. Universidad Autónoma de Madrid; España Fil: Zgrablich, Jorge Andres. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; Argentina |
| description |
Invasion percolation with trapping (TIP) is studied on two kinds of pore networks. The first class of them is the one generated through the dual site bond model [I. Kornhauser, R.J. Faccio, J.L. Riccardo, F. Rojas, A.M. Vidales, G. Zgrablich, Structure characterization of disordered porous media, Fractals 5 (3) (1997) 355–377; S. Cordero, I. Kornhauser, A. Dominguez, C. Felipe, J.M. Esparza, F. Rojas, R.H. Lopez, A.M. Vidales, J.L. ´ Riccardo, G. Zgrablich, Site–bond network modeling of disordered porous media, Part. Part. Syst. Charact. 21 (2004) 101–116] (DSBM). This model allows different strengths of correlations among the elements of the lattice in such a way that patches of sites and bonds with similar sizes are structured as correlations are set up. The typical size of these patches depends on the strength of correlations. The other class is a set of networks with a chessboard-like structure, i.e., patches are the “black” and “white” squares of a chessboard. Each square is made with bonds of similar sizes sampled from the same bond distribution. Black squares have sites sampled from the lower half part of the site distribution and sites in white squares belong to the other half. When a network is built, both models have the constraint imposed by a construction principle (CP) that forbids a bond to be greater than any of the sites to which it is connected. This is a common used assumption in modeling porous networks. The aim of this paper is to find whether the global patchy structure is responsible of the patterns found in TIP, or it is the local constraint imposed by the CP, which prevails. To this end, we measure different quantities, such as fractal dimensions, trapped fluid island distributions and invaded volume ratio, among others. |
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2007 |
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2007-06-01 |
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http://hdl.handle.net/11336/141729 López, Raúl Horacio; Vidales, Ana Maria; Domínguez Ortiz, A.; Zgrablich, Jorge Andres; How does a patchy network affect the structure of invading percolation patterns?; Elsevier Science; Colloids and Surfaces A: Physicochemical and Engineering Aspects; 300; 1-2 SPEC. ISS.; 1-6-2007; 122-128 0927-7757 1873-4359 CONICET Digital CONICET |
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López, Raúl Horacio; Vidales, Ana Maria; Domínguez Ortiz, A.; Zgrablich, Jorge Andres; How does a patchy network affect the structure of invading percolation patterns?; Elsevier Science; Colloids and Surfaces A: Physicochemical and Engineering Aspects; 300; 1-2 SPEC. ISS.; 1-6-2007; 122-128 0927-7757 1873-4359 CONICET Digital CONICET |
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