Simulation Near-field Ground Motion in Kumamoto Earthquake, Japan MJMA7.3 by Empirical Green Function Method

DOI

10.2991/iccahe-16.2016.110How to use a DOI?

Keywords

Simulation Ground Motion, Empirical Green Function, PGA, Fourier spectrum.

Abstract

Near-field strong ground is the main factor that causes serious damage when large earthquake occurred. It is very important to put the predicted ground motion into disaster prevention and aseismatic design. We use empirical green function method to simulate the Kumamoto MJMA7.3 earthquake, in Kyushu, Japan. This method chose an appropriate aftershock as green function. Stacking the green function composes the main earthquake time histories according to a sort of rupture pattern. We simulated and compared 47 stations' observed data and synthetic data, such as time-histories, Fourier spectrum, PGA distribution characteristic. Conclusions show that simulated results is good enough to reflect ground motion's distribution characteristic in which epicenter distance is less than 50km. The synthetic peak value of time history and duration is in a good coincidence with observed peak value. Fourier spectrum fit better in high frequency which bandwidth is from 1Hz to 15Hz. The distribution characteristic of PGA also has a high similarity. PGA in near-field attenuates radically all around with ellipse shape. There is also an abnormal phenomenon that the simulated result of station FKO015 is larger than observed data.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Z.C. Li
AU  - X.L. Chen
AU  - M.T. Gao
AU  - H. Jiang
PY  - 2016/10
DA  - 2016/10
TI  - Simulation Near-field Ground Motion in Kumamoto Earthquake, Japan MJMA7.3 by Empirical Green Function Method
BT  - Proceedings of the 2016 5th International Conference on Civil, Architectural and Hydraulic Engineering (ICCAHE 2016)
PB  - Atlantis Press
SP  - 678
EP  - 694
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccahe-16.2016.110
DO  - 10.2991/iccahe-16.2016.110
ID  - Li2016/10
ER  -