HR: 16:45h
AN: NG12C-04 INVITED     [PDF]
TI: Simulation of evolution effects in microscale and macroscale models of fault systems
AU: * Mora, P
EM: morap@quakes.uq.edu.au
AF: QUAKES, Earth Systems Science Computational Centre, The University of Queensland, St Lucia, Brisbane, Qld 4072 Australia
AU: * Mora, P
EM: morap@quakes.uq.edu.au
AF: Australian Computational Earth Systems Simulator MNRF, Earth Systems Science Computational Centre, The University of Queensland, Brisbane, Qld 4072 Australia
AU: Weatherley, D
EM: dion@quakes.uq.edu.au
AF: QUAKES, Earth Systems Science Computational Centre, The University of Queensland, St Lucia, Brisbane, Qld 4072 Australia
AU: Weatherley, D
EM: dion@quakes.uq.edu.au
AF: Australian Computational Earth Systems Simulator MNRF, Earth Systems Science Computational Centre, The University of Queensland, Brisbane, Qld 4072 Australia
AU: Abe, S
EM: steffen@quakes.uq.edu.au
AF: QUAKES, Earth Systems Science Computational Centre, The University of Queensland, St Lucia, Brisbane, Qld 4072 Australia
AU: Abe, S
EM: steffen@quakes.uq.edu.au
AF: Australian Computational Earth Systems Simulator MNRF, Earth Systems Science Computational Centre, The University of Queensland, Brisbane, Qld 4072 Australia
AU: Wang, Y
EM: wangyc@quakes.uq.edu.au
AF: QUAKES, Earth Systems Science Computational Centre, The University of Queensland, St Lucia, Brisbane, Qld 4072 Australia
AU: Wang, Y
EM: wangyc@quakes.uq.edu.au
AF: Australian Computational Earth Systems Simulator MNRF, Earth Systems Science Computational Centre, The University of Queensland, Brisbane, Qld 4072 Australia
AU: Klein, W
EM: klein@buphy.bu.edu
AF: Physics Dept., Boston University, 590 Commonwealth Ave, Boston, MA 02215 United States
AB: Numerical simulation models provide a means to probe the physics and dynamics of fault systems. Results from three different simulation models are presented: the particle based or micro-scale Lattice Solid Model (Mora and Place, 2002), cellular automaton models (e.g. Weatherley et al, 2002), and parallel fault continuum models (Mora and Weatherley, 2003). Each model has a different degree of realism in terms of its ability to capture the physics of crustal fault systems. The particle model captures evolution effects in the micro-scale structure of the model such as fracture or damage evolution and grain rearrangements. The CA models simplify dynamics of stress transfer and elasticity within a system and assume a ``frozen'' structure representing frictional strength on a fault or fault distribution. The continuum parallel fault model assumes a frozen structure but makes no simplification of the elasto-dynamics. Calculations of the ``inverse metric'' demonstrate periods of ergodicity and non-ergodicity as well as evolution effects such as growth in correlation lengths prior to major events consistent with the view that crustal fault systems can be theoretically analysed using statistical physics concepts, and that large earthquakes may sometimes exhibit precursors similar to critical phenomena. Calculations of the time-correlation function demonstrate that memory effects play an important role and imply that the memory kernel needs to be included in mean-field theoretical analyses such as Klein et al, 2000.
DE: 3210 Modeling
DE: 3220 Nonlinear dynamics
DE: 3230 Numerical solutions
DE: 7209 Earthquake dynamics and mechanics
DE: 7260 Theory and modeling
SC: Nonlinear Geophysics [NG]
MN: 2003 Fall Meeting