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Sivaram, K.
- Estimation of Strong Ground Motion in Southern Peninsular India by Empirical Green's Function Method
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Authors
Affiliations
1 CSIR-National Geophysical Research Institute, Hyderabad 500 007, IN
2 School of Engineering, Indian Institute of Technology-Mandi, Kamand 175 005, IN
3 Department of Civil Engineering, Indian Institute of Technology-Madras, Chennai 600 036, IN
1 CSIR-National Geophysical Research Institute, Hyderabad 500 007, IN
2 School of Engineering, Indian Institute of Technology-Mandi, Kamand 175 005, IN
3 Department of Civil Engineering, Indian Institute of Technology-Madras, Chennai 600 036, IN
Source
Current Science, Vol 112, No 11 (2017), Pagination: 2273-2283Abstract
In the present study, strong motions are estimated at 17 stations in Southern Peninsular India (SPI) for the 7 February 1900 Coimbatore earthquake (Mw 6) using the empirical Green's function (EGF) method. The broadband recordings of three small earthquakes of ML 3.5, 2.9 and 3.0 respectively, are taken as EGFs to simulate ground motion. The slip distribution of the main event is considered as a von Karman random field. The stress drops of the three small events estimated from finite fault stochastic seismological model lie between 130 and 140 bars. The peak ground acceleration (PGA) values, an ensemble of acceleration time histories and response spectra, are estimated at all the 17 stations using corresponding EGFs, and the mean response spectra are reported. Another estimate of PGA is also obtained using the stochastic seismological model. The estimated PGA values from the two methods are compared to check the consistency of the results. It is observed that the mean PGA values are within the bounds of the maximum and minimum PGA values obtained from the EGF method, while the differences at some stations can be attributed to the local site conditions.
The ground motions simulated in the present study can be used to perform nonlinear dynamic analysis for future and existing structures in the SPI region for any event of magnitude Mw 6.
Keywords
Empirical Green’s Function, Ground Motion, Peak Ground Acceleration, Response Spectra, Stochastic Finite Fault Model.Full Text
References
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PDF Views:72
Authors
D. Srinagesh
1,
Prantik Mandal
1,
R. Vijaya Raghavan
1,
Sandeep Gupta
1,
G. Suresh
1,
D. Srinivas
1,
Satish Saha
1,
M. Sekhar
1,
K. Sivaram
1,
Sudesh Kumar
1,
P. Solomon Raju
1,
A. N. S. Sarma
1,
Y. V. V. S. B. Murthy
1,
N. K. Borah
1,
B. Naresh
1,
B. N. V. Prasad
1,
V. M. Tiwari
1
Affiliations
1 CSIR-National Geophysical Research Institute, Hyderabad 500 007, IN
1 CSIR-National Geophysical Research Institute, Hyderabad 500 007, IN
Source
Current Science, Vol 116, No 4 (2019), Pagination: 518-519Abstract
According to the Gutenberg–Richter law1, at least one earthquake of magnitude greater than 7 occurs every month along the seismically active belts in the world. Earthquakes are the manifestation of fault slip at depths, thus, there is no direct method to measure or observe them. However, seismometers can record ground velocity or acceleration caused by the occurrence of an earthquake when a fault slip occurs at depth. Therefore, setting up a seismic network is inevitable to understand the physics of earthquake processes, thereby, mitigating earthquake hazard.Full Text
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