Current Collaborations

We currently maintain active collaborations with several research groups in the United States and in Europe. Let us take a tour across the world to investigate on the damage and healing processes of porous media...

In the United States

At Georgia Tech, we collaborate with Dr. David Hu on bio-inspired optimization of flow networks. Olga Shishkov is co-supervised by Drs. Hu and Arson to design biological experiments for studying the development of slime mold and plant root networks. We test state-of-the-art optimization theories to design interwoven flow networks subjected to topological and environmental constraints, and construct biological analogs to problems of mass transfer encountered in engineering. Wencheng Jin, under Dr. Arson's supervision, benchmarks and develops numerical methods for predicting the formation of fluid flow networks and root system architecture.

Mr. Jin and Dr. Arson also partner with Dr. Seth Busetti, from the Computational Geomechanics group at ConocoPhillips, to design numerical models suitable to the prediction of multi-scale fracture propagation and crack pattern formation in the context of mineral resource extraction.

Theoretical aspects of multi-scale fracture propagation are investigated in collaboration with Dr. Hao Xu, currently a post-doctoral fellow at Lawrence Berkeley National Laboratory and an alumnus of the DeeP MeLT.

Under Dr. Arson's supervision, Dr. Cheng Zhu and Mr. Xianda Shen team up with Drs. Fred and Judi Chester from the Department of Geology & Geophysics ad Texas A&M University to understand the micro-processes that control the mechanical healing rate of damaged salt rock. The research group at Texas A&M fabricates synthetic salt rock samples, designs and conducts consolidation and triaxial compression tests, monitors deformation and fracture evolution rates, and generates salt microstructure images. The DeeP MeLT analyses images, discusses the dominant mechanisms with the Texas A&M team, formulates theoretical models that couple microstructure changes to macroscopic phenomena of damage and healing, and programs algorithms for testing the physical assumptions made and for predicting the long-term behavior of geological storage facilities.

Dr. Arson collaborates with Dr. Tiziana Vanorio, from the School of Earth Sciences at Stanford University, to understand the microstructure changes that drive the decrease of stiffness and increase of permeability in carbonate rocks subjected to aqueous CO2 injection.

In Europe

Dr. Arson has maintained strong scientific relationships with her alma mater Ecole des Ponts Paris Tech (France) since she graduated in 2009. Currently, the DeeP MeLT collaborates closely with Dr. A. Pouya from Navier Laboratory, on the micro-macro modeling of salt viscous damage and fatigue behavior by self-consistent theories and joint-enriched Finite Element Methods. The group uses and develops POROFIS for the FEM simulation of salt polycrystals, a code created and maintained by Dr. Pouya.

A little bit further South, Mr. Pei Wang and Dr. Arson collaborate with Drs. Cino Viggiani and Eddy Ando from the Laboratoire L3SR (Grenoble, France) to formulate micro-macro models of granular media subject to particle crushing. The Deep MeLT is currently working on the formulation of a homogenization theory informed by experimental evidence of grain-scale breakage processes characterized and imaged by the team at L3SR.

Dr. Arson also collaborates with Dr. Chris J. Spiers, from the Department of Geosciences at the University of Utrecht (The Netherlands), to gain fundamental understanding of the process of collapse in sands subject to grain crushing.

For over two years, Dr. Arson has been working with Dr. Elsa Vennat from the Laboratory of Soil Mechanics, Structures and Materials at Ecole Centrale de Paris (France) to model the mechanical properties of dentin. Dr. Vennat conducts mechanical tests and performs microstructure images of dentin. Dr. Arson's group analyzes the images and use them as input data for the formulation of self-consistent micro-macro models of stiffness. The ultimate goal is to predict the deformation and strength evolution of sane, damaged and repaired teeth, and to optimize the reparation techniques based on resin injection that are currently used in dentistry.