Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 120, Issue 34, Pages -Publisher
NATL ACAD SCIENCES
DOI: 10.1073/pnas.2309374120
Keywords
self-healing slip pulses; frictional rupture; spatiotemporal instabilities; earthquakes physics; geophysics
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This article presents a theoretical study on slip pulses in realistic rate- and state-dependent frictional systems. The research shows that slip pulses are inherently unstable objects, but their dynamical evolution is closely linked to their stable counterparts. The study also reveals that slip pulses exist on a steady-state line and their non-steady dynamics are controlled by a single slow unstable mode. This theoretical picture is supported by large-scale simulations.
Self-healing slip pulses are major spatiotemporal failure modes of frictional systems, featuring a characteristic size L(t) and a propagation velocity c(p)(t) (t is time). Here, we develop a theory of slip pulses in realistic rate- and state-dependent frictional systems. We show that slip pulses are intrinsically unsteady objects-in agreement with previous findings-yet their dynamical evolution is closely related to their unstable steady-state counterparts. In particular, we show that each point along the time-independent L-(0) (tau(d))-c(p)((0)) (tau(d)) line, obtained from a family of steady-state pulse solutions parameterized by the driving shear stress tau(d), is unstable. Nevertheless, and remarkably, the c(p)((0)) [L-(0)] line is a dynamic attractor such that the unsteady dynamics of slip pulses (when they exist)-whether growing (L (t)> 0) or decaying (L (t)< 0)reside on the steady-state line. The unsteady dynamics along the line are controlled by a single slow unstable mode. The slow dynamics of growing pulses, manifested by L(t)/c(p)(t) << 1, explain the existence of sustained pulses, i.e., pulses that propagate many times their characteristic size without appreciably changing their properties. Our theoretical picture of unsteady frictional slip pulses is quantitatively supported by large-scale, dynamic boundary-integral method simulations.
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