2021
DOI: 10.1098/rsta.2020.0122
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Fracture dynamics of solid materials: from particles to the globe

Abstract: Solid materials have been used extensively for various kinds of structural components in our surroundings. Stability of such solid structures, including not only machinery, architectural and civil structures but also our solid earth, is largely governed by fracture development in the solids. Especially, dynamic fracture, once occurring—quite often unexpectedly—evolves very rapidly and can lead to catastrophic structural failures and disasters like earthquakes. However, contrary to slowly enlarging fractures th… Show more

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Cited by 1 publication
(4 citation statements)
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“…We seek to re‐examine a prevailing assumption in the modeling of fluid migration within damage zones or the frictional interface of a fault. It is often assumed that the fluid in fault structures can be reduced to 1D flows along the fault given the greater permeability of the fault structure in comparison to the surrounding host rock 47 . Many studies addressing fluid‐induced seismicity have been based on this very presumption.…”
Section: Resultsmentioning
confidence: 99%
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“…We seek to re‐examine a prevailing assumption in the modeling of fluid migration within damage zones or the frictional interface of a fault. It is often assumed that the fluid in fault structures can be reduced to 1D flows along the fault given the greater permeability of the fault structure in comparison to the surrounding host rock 47 . Many studies addressing fluid‐induced seismicity have been based on this very presumption.…”
Section: Resultsmentioning
confidence: 99%
“…The inset of Figure 12A provides a schematic of the problem, where the injection line source is denoted by the red line and the gray magnitude represents the pressure gradient. According to the analytical solution given in Uenishi, 47 the pore pressure change along the fault is given by normalΔp(x,t)=qpG(x,t)$\Delta p(x,t) = q p_G(x, t)$ with pG(x,t)badbreak=12πl0(t)cβ()e()|x|l0false(tfalse)2π|x|l0false(tfalse)erfcfalse|xfalse|l0(t),$$\begin{equation} p_G(x,t) = \frac{1}{\sqrt {2 \pi }} \frac{l_0(t)}{c \beta }{\left(e^{-{\left(\frac{|x|}{l_0(t)}\right)}^2} - \sqrt {\pi } \frac{|x|}{l_0(t)} \text{erfc}{\left(\frac{|x|}{l_0(t)}\right)}\right)}, \end{equation}$$where q$q$ is the fixed volume rate during injection, l0=4ct$l_0 = \sqrt {4 c t}$ is the diffusion distance. We normalize the numerical solution by the maximum value of the analytical solution, that is, pSBI-FD/max(panalytical)$p_{\text{SBI-FD}}/\max (p_{\text{analytical}})$.…”
Section: Resultsmentioning
confidence: 99%
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