Numerical simulation of multiscale fault systems with rate- and state-dependent friction

IF 2.1 3区 地球科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computational Geosciences Pub Date : 2023-10-31 DOI:10.1007/s10596-023-10231-4
Carsten Gräser, Ralf Kornhuber, Joscha Podlesny
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Abstract

Abstract We consider the deformation of a geological structure with non-intersecting faults that can be represented by a layered system of viscoelastic bodies satisfying rate- and state-depending friction conditions along the common interfaces. We derive a mathematical model that contains classical Dieterich- and Ruina-type friction as special cases and accounts for possibly large tangential displacements. Semi-discretization in time by a Newmark scheme leads to a coupled system of nonsmooth, convex minimization problems for rate and state to be solved in each time step. Additional spatial discretization by a mortar method and piecewise constant finite elements allows for the decoupling of rate and state by a fixed point iteration and efficient algebraic solution of the rate problem by truncated nonsmooth Newton methods. Numerical experiments with a spring slider and a layered multiscale system illustrate the behavior of our model as well as the efficiency and reliability of the numerical solver.
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具有速率和状态依赖摩擦的多尺度故障系统的数值模拟
摘要:我们考虑具有非相交断层的地质构造的变形,这种构造可以用粘弹体的层状系统来表示,这些粘弹体满足沿共同界面的速率和状态依赖的摩擦条件。我们推导了一个数学模型,其中包含经典的Dieterich-和ruina型摩擦作为特殊情况,并考虑了可能的大切向位移。用Newmark格式进行半时间离散化,得到一个在每个时间步上求解速率和状态的非光滑凸最小化问题的耦合系统。通过砂浆法和分段常数有限元的附加空间离散化,可以通过不动点迭代实现速率和状态的解耦,并通过截断非光滑牛顿法对速率问题进行有效的代数求解。用弹簧滑块和分层多尺度系统进行的数值实验证明了该模型的行为以及数值求解器的效率和可靠性。
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来源期刊
Computational Geosciences
Computational Geosciences 地学-地球科学综合
CiteScore
6.10
自引率
4.00%
发文量
63
审稿时长
6-12 weeks
期刊介绍: Computational Geosciences publishes high quality papers on mathematical modeling, simulation, numerical analysis, and other computational aspects of the geosciences. In particular the journal is focused on advanced numerical methods for the simulation of subsurface flow and transport, and associated aspects such as discretization, gridding, upscaling, optimization, data assimilation, uncertainty assessment, and high performance parallel and grid computing. Papers treating similar topics but with applications to other fields in the geosciences, such as geomechanics, geophysics, oceanography, or meteorology, will also be considered. The journal provides a platform for interaction and multidisciplinary collaboration among diverse scientific groups, from both academia and industry, which share an interest in developing mathematical models and efficient algorithms for solving them, such as mathematicians, engineers, chemists, physicists, and geoscientists.
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