| Title: |
Simulation of the impregnation in the porous media by the Selforganized Gradient Percolation method |
| Authors: |
Nguyen, Anh Khoa; Blond, Eric; Sayet, Thomas; de Bilbao, Emmanuel; Batakis, Athanasios; Duong, Minh Duc |
| Contributors: |
Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique (PRISME); Université d'Orléans (UO)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL); Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA); Conditions Extrêmes et Matériaux : Haute Température et Irradiation (CEMHTI); Université d'Orléans (UO)-Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS); Mathématiques - Analyse, Probabilités, Modélisation - Orléans (MAPMO); Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS); Vietnam National University, Ho Chi Minh City / Đại học Quốc gia TP. Hồ Chí Minh (VNU-HCM); Université Paris-Saclay |
| Source: |
13e colloque national en calcul des structures - CSMA 2017; https://hal.science/hal-01899245; 13e colloque national en calcul des structures - CSMA 2017, Université Paris-Saclay, May 2017, Giens, Var, France |
| Publisher Information: |
CCSD |
| Publication Year: |
2017 |
| Collection: |
Université d'Orléans: HAL |
| Subject Terms: |
Self-organized Gradient Percolation; Impregnation; Capillary pressure curve; Porous media; [SPI.MECA.STRU]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Structural mechanics [physics.class-ph]; [PHYS.COND.CM-SCM]Physics [physics]/Condensed Matter [cond-mat]/Soft Condensed Matter [cond-mat.soft]; [PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis; Statistics and Probability [physics.data-an] |
| Subject Geographic: |
Giens; Var; France |
| Description: |
International audience ; Many processes can correspond to reactive impregnation in porous solids. These processes are usually numerically computed by classical methods like finite element method, finite volume method, etc. The disadvantage of these methods remains in the computational time. The convergence and accuracy require a small step-time and a small mesh size, which is expensive in computational time and can induce a spurious oscillation. In order to avoid this problem, we propose a Self-organized Gradient Percolation algorithm. This method permits to reduce the CPU time drastically. |
| Document Type: |
conference object |
| Language: |
English |
| Relation: |
info:eu-repo/semantics/altIdentifier/arxiv/1808.06960; ARXIV: 1808.06960 |
| Availability: |
https://hal.science/hal-01899245; https://hal.science/hal-01899245v1/document; https://hal.science/hal-01899245v1/file/Khoa_abstract_csma2017_Vf.pdf |
| Rights: |
info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.B2435903 |
| Database: |
BASE |