Summary of the ASK14 ground motion relation for active crustal regions

Empirical ground motion models for the average horizontal component from shallow crustal earthquakes in active tectonic regions are derived using the PEER NGA-West2 database. The model is applicable to magnitudes 3.0-8.5, distances 0-300 km, and spectral periods of 0-10 s. The model input parameters...

Full description

Saved in:
Bibliographic Details
Published in:Earthquake Spectra 2014-08, Vol.30 (3), p.1025-1055
Main Authors: Abrahamson, Norman A, Silva, Walter J, Kamai, Ronnie
Format: Article
Language:English
Subjects:
Acceleration
aftershocks
Asia
ASK14
attenuation
California
China
crust
data bases
data processing
earthquakes
Empirical analysis
engineering geology
equations
Far East
faults
Ground motion
Japan
loading
magnitude
Marine
Mathematical models
neotectonics
NGA-West2 project
numerical models
peak ground acceleration
prediction
regression analysis
rupture
scale factor
Seismic phenomena
Seismology
simulation
soil mechanics
Spectra
Standard deviation
statistical analysis
Taiwan
tectonics
United States
velocity
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Empirical ground motion models for the average horizontal component from shallow crustal earthquakes in active tectonic regions are derived using the PEER NGA-West2 database. The model is applicable to magnitudes 3.0-8.5, distances 0-300 km, and spectral periods of 0-10 s. The model input parameters are the same as those used by Abrahamson and Silva (2008), with the following exceptions: the loading level for nonlinear effects is based on the spectral acceleration at the period of interest rather than the PGA; and the distance scaling for hanging wall (HW) effects off the ends of the rupture includes a dependence on the source-to-site azimuth. Regional differences in large-distance attenuation and VS30 scaling between California, Japan, China, and Taiwan are included. The scaling for the HW effect is improved using constraints from numerical simulations. The standard deviation is magnitude-dependent, with smaller magnitudes leading to larger standard deviations at short periods, but smaller standard deviations at long periods. Directivity effects are not included through explicit parameters, but are captured through the variability of the empirical data.
ISSN:8755-2930
1944-8201
DOI:10.1193/070913EQS198M