4.7 Article

Investigations and new insights on earthquake mechanics from fault slip experiments

Journal

EARTH-SCIENCE REVIEWS
Volume 228, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.earscirev.2022.104019

Keywords

Earthquake; Mechanics; Seismicity; Fault slip; Fault stability; Earthquake prediction

Funding

  1. Funds for International Cooperation and Exchange of the National Natural Science Foundation of China [52161135301]
  2. National Key Research and Development Program of China [2021YFC2900500]
  3. Science and Technology Innovation Program of Hunan Province of China [2021RC4004]
  4. Funds for Excellent Young Scholars of the National Science Foundation for Excellent Young Scholars of China [51822407]

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This work reviews the experimental study of fault slip and its relation to earthquakes, discussing the physical processes and mechanisms involved. The main influencing factors in the study of fault and earthquake are stress, velocity, material, fluid, and temperature. These studies have the potential to advance the understanding of earthquake mechanisms and guide earthquake prediction and control.
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 necessary and powerful tool to explore the physical processes and mechanisms of pre-earthquake, earthquake, and aftershock. This work reviews the experiment study of fault slip from field experiments, laboratory experiments, and numerical experiments, which helps to provide a clear understanding of earthquake mechanics. We show that there are five main influencing factors in the study of fault and earthquake: stress, velocity, material, fluid, and temperature. Around these factors, the process of shear failure and rupture nucleation, the weakening and strengthening of fault, the characteristics of slip behavior, and the signal characteristics of slip are discussed. These works do not only have the potential to advance the understanding of the earthquake mechanism, but also to guide the prediction and control of earthquakes disasters. Furthermore, there are still several issues that need to be better discussed, such as the influence of stress disturbance on fault stability, the scale effect between natural faults and laboratory faults, and the role of roughness in the friction and slip characteristics of faults. Moreover, it is also necessary to consider the earthquake precursors of multiple signals such as seismic velocity, electrical signal, and magnetic signal, as well as effectively capture them in combination with artificial intelligence technology. It will be new breakthroughs in the prediction of earthquakes.

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