Using a physics-informed neural network and fault zone acoustic monitoring to predict lab earthquakes
Predicting failure in solids has broad applications including earthquake prediction which
remains an unattainable goal. However, recent machine learning work shows that laboratory …
remains an unattainable goal. However, recent machine learning work shows that laboratory …
Laboratory earthquake forecasting: A machine learning competition
PA Johnson, B Rouet-Leduc… - Proceedings of the …, 2021 - National Acad Sciences
Earthquake prediction, the long-sought holy grail of earthquake science, continues to
confound Earth scientists. Could we make advances by crowdsourcing, drawing from the …
confound Earth scientists. Could we make advances by crowdsourcing, drawing from the …
Acoustic energy release during the laboratory seismic cycle: Insights on laboratory earthquake precursors and prediction
Abstract Machine learning can predict the timing and magnitude of laboratory earthquakes
using statistics of acoustic emissions. The evolution of acoustic energy is critical for lab …
using statistics of acoustic emissions. The evolution of acoustic energy is critical for lab …
Spatial clustering of microscopic dynamics governs the slip avalanche of sheared granular materials
Establishing quantifiable links between individual-particle dynamics and macroscopic
response of granular materials has been a longstanding challenge, with implications in …
response of granular materials has been a longstanding challenge, with implications in …
Deep learning can predict laboratory quakes from active source seismic data
P Shokouhi, V Girkar, J Rivière… - Geophysical …, 2021 - Wiley Online Library
Small changes in seismic wave properties foretell frictional failure in laboratory experiments
and in some cases on seismic faults. Such precursors include systematic changes in wave …
and in some cases on seismic faults. Such precursors include systematic changes in wave …
Frictional and lithological controls on shallow slow slip at the northern Hikurangi margin
Slow slip events (SSEs) have been identified at subduction zones globally as an important
link in the continuum between elastodynamic ruptures and stable creep. The northern …
link in the continuum between elastodynamic ruptures and stable creep. The northern …
Machine learning predicts the timing and shear stress evolution of lab earthquakes using active seismic monitoring of fault zone processes
Abstract Machine learning (ML) techniques have become increasingly important in
seismology and earthquake science. Lab‐based studies have used acoustic emission data …
seismology and earthquake science. Lab‐based studies have used acoustic emission data …
Mitigation of injection-induced seismicity on undrained faults in granite using cyclic fluid injection: A laboratory study
Cyclic fluid injection has been demonstrated as a plausibly effective and controllable
strategy to mitigate the seismic risks during hydraulic stimulation. The mechanism involved …
strategy to mitigate the seismic risks during hydraulic stimulation. The mechanism involved …
Competition between preslip and deviatoric stress modulates precursors for laboratory earthquakes
Variations in elastic wave velocity and amplitude prior to failure have been documented in
laboratory experiments as well as in a limited number of crustal earthquakes. These …
laboratory experiments as well as in a limited number of crustal earthquakes. These …
The role of shear fabric in controlling breakdown processes during laboratory slow‐slip events
MM Scuderi, E Tinti, M Cocco… - Journal of Geophysical …, 2020 - Wiley Online Library
Understanding the physical mechanisms at the origin of slow‐slip events has been proven a
very challenging task. In particular, little is known on the role of fault heterogeneity during …
very challenging task. In particular, little is known on the role of fault heterogeneity during …