Hydromechanics of porous media
Flow, transport, and deformation in deforming porous media play a major role in numerous phenomena in engineering and the earth sciences, as well as various industrial and manufacturing processes. Methane venting, landslide, debris flow, liquefaction and slope instability are among many occasions that involve the two-way coupling between solid and fluid phases. We use numerical and experimental approaches to study flow, transport, and deformation in deforming porous media and shed new light on hydro-mechanical processes that take place in natural and synthetic porous materials, characterizing the pore and grain scale mechanisms that control the macroscopic behavior.
Machine learning and deep learning
Machine learning techniques can significantly augment human intuition and minimize human bias to help identify signals of importance to predict failure, offering powerful path to extract information rapidly from complex datasets. It is posited that machine learning improves abilities to listen for fluid leakage paths, characterize fault friction, quantify stress changes and predict deformation in geo-materials helping to understand natural and human-induced catastrophic events.
Natural geo-material particles that are involved in catastrophic phenomena such as earthquakes, landslides and avalanches are often cohesive, cemented, and wet, which makes the characterization of their rheology complex. Novel experimental and computational methods that aim at addressing such challenging problems can improve our understanding from the micro-mechanics of cohesive/cemented geo-materials leading to a better prediction of their rheological behavior.
Friction and granular flow dynamics
Understanding the frictional behavior of granular materials under shear or generalized stress conditions is the key element for many open questions about the natural phenomena that involve geo-materials. Numerical simulations can shed light on the micro-mechanics of granular dynamics’ change i.e. from stick-slip to slow slip and stable sliding, providing grain-scale information concerning the evolution of stress, precursory activities and granular networks.
Induced vs triggered seismicity
In recent years, with increasing reports on dynamically triggered earthquakes, seismologists have faced a complex challenge for earthquake hazard assessment: a paradigm shift from a more local and isolated view to a more global one. In addition, the induced seismicity due to anthropogenic activities has boosted this complexity, since fluid injection is suggested to increase the susceptibility of earthquake triggering. Using numerical and experimental methods, we study the micromechanical origins of induced and triggered seismicity.