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GD Modeling

Coordinators : Franck Jourdan and John Palmeri

The General Direction Modeling offers a wide range of theoretical, simulation and computational approaches. It aims at promoting mathematical or numerical representations of the physical world in relation to applications involving living and environmental systems. For instance, this GD contributed to the launch of the Rheoblood flaghship project. The mechanisms of functions are studied at all scales (which is one the originalities of the GD Modeling), from the structuring of polymer gels via catalytic reactions at the molecular level[1], to starting projects on the radial diffusion of water in roots[2]. For environmental applications ranging from the description of hygro-poro-mechanical couplings in soils[3]or poroelastic media[4], to the inverse analysis of GPS data of surface movements to estimate lithosphere rigidity at continental level[5], was proposed . This GD supported several networks and interdisciplinary working groups as GRISBI (“Groupement de Recherche Interdisciplinaire sur les Systèmes Biologiques”) and the  2018 international workshop in Montpellier on Biophysical modeling (100 attendees).


[1]V. Hugouvieux and W. Kob (2017) Structuring polymer gels via catalytic reactions. Soft Matter, vol.13 (46), pp. 8706-8746,DOI: 10.1039/c7sm01814b

[2]Y. Boursiac, M. Velez-Cardona, M.M Calvo-Polanco, D. Felbacq, C. Pradal, M. Lucas,and C. Godin, and C. Maurel (2016) How does water flow through the roots, Gordon Research Conferences Salt & Water Stress in Plants, From Molecules to Crops, Switzerland

[3]F. Z. el Korchi, F. Jamin, M. el Omari, M. S. El Youssoufi (2016) Collapse phenomena during wetting in granular media. European. Journal of Environmental and Civil Engineering, vol. 20 (10), doi <10.1080/19648189.2016.1177602>

[4]D. Boffi, M. Botti, D. A. Di Pietro (2016) A nonconforming high-order method for the Biot problem on general meshes. SIAM Journal on Scientific Computing, Society for Industrial and Applied Mathematics, vol. 38 (3), pp. A1508-A1537

[5]S. Furst, M. Peyret, J. Chéry, B. Mohammadi (2017) Lithosphere rigidity by adjoint-based inversion of interseismic GPS data, application to the Western United States. Tectonophysics, Elsevier.