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Finite-Difference Methods

Finite-difference methods (FDM) are the most common ones used to simulate seismic ground motion in sedimentary basins. Using a 2D finite-difference method, Vidale and Helmberger [46] approximated the 1971 San Fernando earthquake as a point source and propagated wave (0.1-0.5Hz) along a cross section of the San Fernando and Los Angeles Basins. The same approach has been applied to other earthquakes; Schrivner and Helmberger [43] simulated ground motion in the Las Angeles basin from the 4 October 1987 Whittier Narrows aftershock (M 5.3) and the 28 June 1991 Sierra Madre main-shock (M 5.8); Pitarka et al [36] simulated ground motion in the Ashigara Valley from the 5 August 1990 Odawara, Japan, earthquake. The 2-D finite difference method was extended to 3-D by Olsen and Schuster in 1992 [34], who simulated the wave propagation in the Salt Lake Basin mine blasts and plane waves. Frankel and Vidale [17] simulated 3-D wave propagation in the Santa Clara Valley by using a far-field point source. Yomogida and Etgen [50] applied this method to the Los Angeles Basin in simulating the 1987 Whittier-Narrows earthquake. Frankel [16] took the next step when he simulated 3-D elastic waves in the San Bernardino basin from a hypothetic M6.5 earthquake on the San Andreas fault. Although the source model was nearly a line source (30-km long and 3-km wide) and the model depth was limited to 7 km, Frankel included both a 3-D velocity structure and a propagating rupture over a finite fault area. The first integration of the full 3-D velocity structure of the Los Angeles area with an earthquake rupture on a finite fault was carried out by Olsen et al [33]. Using a parallel supercomputer, they simulated ground motion for an M 7.75 earthquake along a 170-km-long stretch of San Andreas fault from Tejon Pass to San Bernardino for frequencies up to 0.4 Hz. In 1996, Olsen and Archuleta [32] simulated ground motion for three hypothetical M 6.75 earthquakes on the Los Angeles fault system by using a complex 3-D geometrical model of the Los Angeles area developed by Magistrale et al [31] and modeling the kinematic earthquake rupture.

Although FDMs have contributed to the simulation of ground motion in the full-size LA basin, uniform grid domains prevent them from getting results with good spatial and temporal resolution. To see why uniform grids are impractical, consider the Los Angeles Basin. For a shear wave velocity of 0.4 km/s and a frequency of 2 Hz, a regular discretization of the elasticity operator would place grid points 0.02 km apart to achieve second order accuracy. The region of interest has dimensions 140 km tex2html_wrap_inline625 100 km tex2html_wrap_inline627 20 km; thus, a regular discretization, governed by the softest layer, requires 35 billion grid points with three displacement components per grid point. At least a terabyte of primary memory would be needed, and on the order of tex2html_wrap_inline629 operations would be required at each time step. The stability condition associated with explicit time integration of the semidiscrete equations of motion imposes a time increment at least as small as 0.004s. Thus, a computer would have to perform at a sustained teraflop per second for two days to simulate a minute of shaking.



next up previous contents
Next: Boundary-Element Methods Up: Literature Review: Numerical Methods Previous: Literature Review: Numerical Methods



Hesheng Bao
Mon Mar 24 21:08:34 EST 1997