434 citations · 1.2k across the 17 of their papers we have counts for
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Simulation of crack induced nonlinear elasticity using the combined finite-discrete element method
Ke Gao, Esteban Rougier, Robert Guyer +2
Numerical simulation of nonlinear elastic wave propagation in solids with cracks is indispensable for decoding the complicated mechanisms associated with the nonlinear ultrasonic t…
Earthquake catalog-based machine learning identification of laboratory fault states and the effects of magnitude of completeness
Nicholas Lubbers, David C. Bolton, Jamaludin Mohd-Yusof +3
Machine learning regression can predict macroscopic fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions.…
Breaking Cascadia's Silence: Machine Learning Reveals the Constant Chatter of the Megathrust
Bertrand Rouet-Leduc, Claudia Hulbert, Paul A. Johnson
Tectonic faults slip in various manners, ranging from ordinary earthquakes to slow slip events to aseismic fault creep. The frequent occurrence of slow earthquakes and their sensit…
Modeling of Stick-Slip Behavior in Sheared Granular Fault Gouge Using the Combined Finite-Discrete Element Method
Ke Gao, Bryan J. Euser, Esteban Rougier +5
Sheared granular layers undergoing stick slip behavior are broadly employed to study the physics and dynamics of earthquakes. Here, a two dimensional implementation of the combined…
Estimating the Physical State of a Laboratory Slow Slipping Fault from Seismic Signals
Claudia Hulbert, Bertrand Rouet-Leduc, Christopher X. Ren +4
Over the last two decades, strain and GPS measurements have shown that slow slip on earthquake faults is a widespread phenomenon. Slow slip is also inferred from correlated small a…