Big data seismology
The discipline of seismology is based on observations of ground motion that are inherently
undersampled in space and time. Our basic understanding of earthquake processes and our …
undersampled in space and time. Our basic understanding of earthquake processes and our …
Deep learning for laboratory earthquake prediction and autoregressive forecasting of fault zone stress
Earthquake forecasting and prediction have long and in some cases sordid histories but
recent work has rekindled interest based on advances in early warning, hazard assessment …
recent work has rekindled interest based on advances in early warning, hazard assessment …
Predicting fault slip via transfer learning
Data-driven machine-learning for predicting instantaneous and future fault-slip in laboratory
experiments has recently progressed markedly, primarily due to large training data sets. In …
experiments has recently progressed markedly, primarily due to large training data sets. In …
Creep damage properties and nonlinear creep model of red sandstone treated at high temperature based on acoustic emission
X Pan, X Zhou - Acta Geotechnica, 2023 - Springer
This work studies the creep damage behaviors and nonlinear creep model of red sandstone
treated at high temperature. The porosity change, creep strain, long-term strength, creep rate …
treated at high temperature. The porosity change, creep strain, long-term strength, creep rate …
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 …
Machine learning bridges microslips and slip avalanches of sheared granular gouges
Understanding the origin of stress drop of fault gouges may offer deeper insights into many
geophysical processes such as earthquakes. Microslips of sheared granular gouges were …
geophysical processes such as earthquakes. Microslips of sheared granular gouges were …
Foreshock properties illuminate nucleation processes of slow and fast laboratory earthquakes
Understanding the connection between seismic activity and the earthquake nucleation
process is a fundamental goal in earthquake seismology with important implications for …
process is a fundamental goal in earthquake seismology with important implications for …
Frequency‐magnitude statistics of laboratory foreshocks vary with shear velocity, fault slip rate, and shear stress
Understanding the temporal evolution of foreshocks and their relation to earthquake
nucleation is important for earthquake early warning systems, earthquake hazard …
nucleation is important for earthquake early warning systems, earthquake hazard …
Immediate foreshocks indicating cascading rupture developments for 527 M 0.9 to 5.4 Ridgecrest earthquakes
Understanding earthquake foreshocks is essential for deciphering earthquake rupture
physics and can aid seismic hazard mitigation. With regional dense seismic arrays, we …
physics and can aid seismic hazard mitigation. With regional dense seismic arrays, we …
Impact versus frictional earthquake models for high‐frequency radiation in complex fault zones
Earthquakes occur within complex fault zones containing numerous intersecting fault
strands. This complexity poses a computational challenge for rupture models, which typically …
strands. This complexity poses a computational challenge for rupture models, which typically …