The science, engineering applications, and policy implications of simulation-based PSHA

By: , and 



We summarize scientific methods for developing probabilistic seismic hazard assessments from 3-D earthquake ground motion simulations, describe current use of simulated ground motions for engineering applications, and discuss on-going efforts to incorporate these effects in the U.S. national seismic hazard model. The 3-D simulations provide important, additional information about earthquake ground-shaking, which is critical to proper characterization of potential ground motions. Example uses of these simulations for engineering applications provide alternative approaches to introducing the effects of deep basins on long-period ground motions into design requirements. In Seattle, Washington tall building design includes requirements for accounting for the effect of the Seattle basin, and one method for including this effect relies upon local 3-D simulations. In Los Angeles, California a working group of scientists and engineers is advancing the use of local 3-D simulations for local building codes. In light of the benefit to ground motion characterization from the use of 3-D simulations, similar efforts are underway for national-scale seismic hazard analyses, which seek to make use of the extensive work applied from local efforts; current methods for incorporating these effects on a national-scale are presented.

Publication type Conference Paper
Publication Subtype Conference Paper
Title The science, engineering applications, and policy implications of simulation-based PSHA
Year Published 2018
Language English
Publisher Earthquake Engineering Research Institute
Contributing office(s) Earthquake Science Center, Geologic Hazards Science Center
Description 10 p.
Larger Work Type Conference Paper
Larger Work Subtype Conference Paper
Larger Work Title Eleventh United States national conference on earthquake engineering
Conference Title Eleventh U.S. national conference on earthquake engineering
Conference Location Los Angeles, CA
Conference Date June 25-29, 2016
Google Analytic Metrics Metrics page
Additional publication details