Simulation of accelerograms from simplified deterministic approach for the 23rd October 2004 Niigata-ken Chuetsu,Japan earthquake |
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Authors: | A Joshi K Mohan |
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Institution: | (1) Department of Earth Sciences, Indian Institute of Technology Roorkee, Roorkee, 247 667, India;(2) Institute of Seismological Research, Gandhinagar, 382018, Gujarat, India |
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Abstract: | A simple hybrid approach for the simulation of strong ground motion is presented in this paper. This approach is based on
the deterministic modelling of rupture plane initially started by Midorikawa, Tectonophysics 218:287–295, (1993) and further
modified by Joshi, Pure Appl Geophys (PAGEOPH) 8:161, (2004). In this technique, the finite rupture plane of the target event
is divided into several subfaults, which satisfy scaling relationship. In this paper, simulation of strong ground motion due
to a rupture buried in a earth medium consisting of several layers of different velocities and thicknesses is made by considering
(1) transmission of energy at each layer; (2) frequency filtering properties of medium and earthquake source; (3) correction
factor for slip of large and small magnitude earthquakes and (4) site amplification ratio at various stations. To test the
efficacy of the developed technique, strong motion records were simulated at different stations that have recorded the 2004
Niigata-ken Chuetsu, Japan earthquake (M
s 7.0). Comparison is made between the simulated and observed velocity and acceleration records and their response spectra.
Distribution of peak ground acceleration, velocity and displacement surrounding the rupture plane is prepared from simulated
and observed records and are compared with each other. The comparison of synthetic with the observed records over wide range
of frequencies shows that the present technique is effective to predict various strong motion parameters from simple deterministic
model which is based on simple regression relations and modelling parameters. |
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Keywords: | Deterministic approach Envelope Accelerogram White noise Amplification factor |
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