A5102750173- Advanced Mathematical Modeling in Engineering
- Metallurgical Processes and Thermodynamics
- Soil and Unsaturated Flow
- Lattice Boltzmann Simulation Studies
- Heat and Mass Transfer in Porous Media
- Material Dynamics and Properties
- Wastewater Treatment and Nitrogen Removal
- Iron and Steelmaking Processes
- Thermal and Kinetic Analysis
- CO2 Sequestration and Geologic Interactions
- Concrete and Cement Materials Research
- Groundwater flow and contamination studies
- Composite Material Mechanics
Université d'Orléans
2018-2020
Institut Denis Poisson
2018-2020
Centre National de la Recherche Scientifique
2018-2020
Institut National des Sciences Appliquées Centre Val de Loire
2018-2020
Université de Tours
2018-2020
Laboratoire Procédés et Ingénierie en Mécanique et Matériaux
2018-2019
Centre Val de Loire
2018
Ho Chi Minh City University of Science
2018
Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique
2017-2018
Abstract The lifespan of refractory results from a complex interaction between chemistry, thermal conditions, and mechanics. development numerical models able to predict the such multi‐physics couplings requires an intensive use thermodynamics irreversible processes framework. Today, main barriers reach fully predictive simulations are: access relevant data at high temperature (chemical kinetics, chemical expansion coefficient, etc), complexity computational time. theoretical framework is...
The aim of this work is to develop a new numerical method overcome the computational difficulties simulation unsaturated impregnation in porous media. analysis by classical methods (F.E.M, theta-method, ...) for phenomenon require small time-step and space discretization ensure both convergence accuracy. Yet leads high cost. Moreover, very can lead spurious oscillations that impact precision results. Thus, we propose use Self-organized Gradient Percolation (SGP) algorithm reduce cost these...
Many processes can correspond to reactive impregnation in porous solids. These are usually numerically computed by classical methods like finite element method, volume etc. The disadvantage of these remains the computational time. convergence and accuracy require a small step-time mesh size, which is expensive time induce spurious oscillation. In order avoid this problem, we propose Self-organized Gradient Percolation algorithm. This method permits reduce CPU drastically.
A two-dimension extension of the Self-organized Gradient Percolation (SGP) method initially developed for one-dimensional simulation is proposed. The initialization in two directions considered as analytic solution 2D (homogeneous) diffusion equation. evolution saturation front assumed to be both standard deviations each direction. validation implementation done by comparisons between SGP and finite element results.