Stochastic models and simulation of earthquake ground motions

Abstract

With the advent of performance-based earthquake engineering (PBEE), there is increased need for nonlinear response analysis of structures, both by deterministic time-history analysis (for a statistical sample) and by stochastic dynamic analysis. For this purpose, stochastic models that realistically characterize earthquake ground motions are needed. These models can be used directly for stochastic dynamic analysis, or for generating an ensemble of synthetic ground motions, which can then be used instead of or in conjunction with recorded ground motions for time-history PBEE analysis. This organized session/symposium will bring together a group of researchers who are currently working in this area or have recent results. It is anticipated that the contributions will provide a wide spectrum of models, including source-based seismological models, hybrid models, and site-based purely stochastic models, and that these models will be used to characterize ground motions for a variety of settings, including far-field and near-field regions, components of ground motion at a single site, and components of ground motions for an array of sites. It is expected that the session/symposium will offer an opportunity for a healthy discussion of different viewpoints and identification of the strengths and shortcomings of existing stochastic models.

Organizers

Armen Der Kiureghian (adk@ce.Berkeley.edu)
Sanaz Rezaeian Sanaz Rezaeian (sanazr@berkeley.edu)
University of California, Berkeley, US