Investigations and new insights on earthquake mechanics from fault slip experiments

L Dong, Q Luo - Earth-Science Reviews, 2022 - Elsevier
Earthquakes occur mainly on active faults. Fault slip is closely related to seismicity and is
thus widely discussed in Geosciences, Seismology, and Engineering. Slip experiment is a …

The role of pressure solution creep in the ductility of the Earth's upper crust

JP Gratier, DK Dysthe, F Renard - Advances in geophysics, 2013 - Elsevier
The aim of this review is to characterize the role of pressure solution creep in the ductility of
the Earth's upper crust and to describe how this creep mechanism competes and interacts …

Present‐day crustal deformation of continental China derived from GPS and its tectonic implications

M Wang, ZK Shen - Journal of Geophysical Research: Solid …, 2020 - Wiley Online Library
We process rigorously GPS data observed during the past 25 years from continental China
to derive site secular velocities. Analysis of the velocity solution leads to the following …

Machine learning predicts laboratory earthquakes

B Rouet‐Leduc, C Hulbert, N Lubbers… - Geophysical …, 2017 - Wiley Online Library
We apply machine learning to data sets from shear laboratory experiments, with the goal of
identifying hidden signals that precede earthquakes. Here we show that by listening to the …

Location of largest earthquake slip and fast rupture controlled by along‐strike change in fault structural maturity due to fault growth

C Perrin, I Manighetti, JP Ampuero… - Journal of …, 2016 - Wiley Online Library
Earthquake slip distributions are asymmetric along strike, but the reasons for the asymmetry
are unknown. We address this question by establishing empirical relations between …

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 …

Predicting fault slip via transfer learning

K Wang, CW Johnson, KC Bennett… - Nature communications, 2021 - nature.com
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 …

[HTML][HTML] Explainable machine learning for labquake prediction using catalog-driven features

S Karimpouli, D Caus, H Grover… - Earth and Planetary …, 2023 - Elsevier
Recently, Machine learning (ML) has been widely utilized for laboratory earthquake
(labquake) prediction using various types of data. This study pioneers in time to failure (TTF) …

Shear zones in clay-rich fault gouge: A laboratory study of fabric development and evolution

SH Haines, B Kaproth, C Marone, D Saffer… - Journal of Structural …, 2013 - Elsevier
Clay-rich fault rocks have long been recognized to host distinctive fabric elements, and fault
rock fabric is increasingly thought to play a fundamental role in fault mechanical behaviour …

Inferring earthquake physics and chemistry using an integrated field and laboratory approach

A Niemeijer, G Di Toro, WA Griffith, A Bistacchi… - Journal of Structural …, 2012 - Elsevier
Earthquakes are the result of a combination of (1) physico-chemical processes operating in
fault zones, which allow ruptures to nucleate and rock friction to decrease with increasing …