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Section: New Results

Numerical models and simulations applied to physics

Heat and mass transfer modeling in porous media

Participants : Édouard Canot, Salwa Mansour.

Grants: MODNUM 8.4.5 , HYDRINV 8.4.7

Conferences: [33] , [35] ,[44]

Abstract: The effective thermal conductivity is a key parameter for obtaining good simulations of heat transfer in wet porous media. It is very sensitive to the presence of liquid water, even in very small quantity. Moreover, during the evaporation of water, some changes of geometric configuration of the liquid meniscus lead to hysteresis behaviors. Micro-scale studies help us in understanding the global properties, via numerical simulations.

Heat transfer in soils applied to archaeological fires

Participants : Édouard Canot, Salwa Mansour.

Grants: MODNUM 8.4.5 , ARPHYMAT 8.4.6

Conferences: [34] , [36]

Abstract: In order to be validated, the numerical simulations of heat transfer at the surface of the soil are compared to experimental results, because of the complexity of the phenomenon and the great number of physical mechanisms involved. It appears that making good experiments is hard, not to mention the limitations and lacks of the Laloy and Massard method used to obtained the effective thermal conductivity of the granular material. The Laloy and Massard method have been slightly improved; besides a different, new experimental method, based on the mathematical properties of heat transfer, has been proposed.

Granular materials

Participant : Édouard Canot.

Publications: [19] .

Abstract: Using the μ(I) continuum model recently proposed for dense granular flows, we study theoretically steady and fully developed granular flows in two configurations: a plane shear cell and a channel made of two parallel plates (Poiseuille configuration).

Geodesy

Participants : Amine Abdelmoula, Bernard Philippe.

Grants: LIRIMA-EPIC 8.4.3 , joint Ph-D 8.4.9 .

Publications: [12] .

Thesis: Ph-D of Amine Abdelmoula, University of Rennes 1 and Tunis, defended in December 2013.

Abstract: We solve a geodetic inverse problem for the determination of a distribution of point masses (characterized by their intensities and positions), such that the potential generated by them best approximates a given potential field.