[PDF][PDF] A generic approach to ground motion predictions

Y Tang, NTK Lam, HH Tsang… - Proceedings of Australian …, 2017 - aees.org.au
Proceedings of Australian Earthquake Engineering Society 2017 Conference …, 2017aees.org.au
This paper introduces the updated Component Attenuation Model (CAM) which is a tool for
translating a seismological Ground Motion Model (GMM) into a Ground Motion Predictive
Equations (GMPE) for use in seismic hazard analysis and in other engineering applications.
Input parameters into CAM includes M and R as well as other key seismological parameters
namely the whole path transmission quality factor Q0, shear wave velocity parameter VS30
and the anelastic attenuation parameter k0. The inclusion of these parameters enables CAM …
Abstract
This paper introduces the updated Component Attenuation Model (CAM) which is a tool for translating a seismological Ground Motion Model (GMM) into a Ground Motion Predictive
Equations (GMPE) for use in seismic hazard analysis and in other engineering applications. Input parameters into CAM includes M and R as well as other key seismological parameters namely the whole path transmission quality factor Q0, shear wave velocity parameter VS30 and the anelastic attenuation parameter k0. The inclusion of these parameters enables CAM to be adapted for use in a diversity of crustal environments in one model. In places like Central-East North America (CENA) GMPEs cannot possibly be developed in the empirical manner because of lack of strong motion recordings. Some GMMs have been identified as being most representative of the ground motion behaviour of intraplate regions given the amount of representative seismological information that have been incorporated into their model development by highly acclaimed researchers. However, translating these models into GMPEs requires stochastic simulations and consequently the full engineering potentials of GMMs have not been realised to the full. This paper presents the use of CAM to translate four selected GMMs into GMPEs in order that direct comparisons with the benchmark GMPE of NGA-West2 becomes possible. CAM has been verified by demonstrating consistencies between predictions provided by the model and that from stochastic simulations.
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