HR: 09:15h
AN: S11D-04    [Abstracts]
TI: High-Resolution Inverse-Based Determination of Seismic-Velocity Structure in Basins
AU: Akcelik, V
EM: volkan@andrew.cmu.edu
AF: Computational Seismology Laboratory, Department of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA 15213 United States
AU: * Bielak, J
EM: jbielak@cmu.edu
AF: Computational Seismology Laboratory, Department of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA 15213 United States
AU: Epanomeritakis, I
EM: ike@andrew.cmu.edu
AF: Computational Seismology Laboratory, Department of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA 15213 United States
AU: Ghattas, O
EM: ghattas@cs.cmu.edu
AF: Computational Seismology Laboratory, Department of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA 15213 United States
AB: Starting with the pioneering work of Aki, Christoffersson, and Husebye in 1976, there has been an increasing interest in developing inversion techniques for determining the three-dimensional crustal velocity structure in seismic regions. In this paper we describe a methodology that capitalizes on recent advances in optimization methods to adapt, extend, and refine powerful nonlinear Newton-Krylov adjoint-based inverse wave propagation algorithms to two- and three-dimensional velocity structure and kinematic source inversion problems. We present results of high resolution models for two-dimensional sedimentary valleys undergoing antiplane motion, and three dimensional acoustic approximations of models of the San Fernando Valley using parallel scalable inversion algorithms that overcome many of the difficulties particular to inverse heterogeneous wave propagation problems.
DE: 7260 Theory and modeling
DE: 7212 Earthquake ground motions and engineering
DE: 7215 Earthquake parameters
SC: Seismology [S]
MN: 2004 AGU Fall Meeting