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DC Field | Value | Language |
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dc.contributor.author | Thakur, Shraeyansh | - |
dc.date.accessioned | 2025-07-03T15:28:45Z | - |
dc.date.available | 2025-07-03T15:28:45Z | - |
dc.date.issued | 2013-06 | - |
dc.identifier.uri | http://localhost:8081/jspui/handle/123456789/17704 | - |
dc.description.abstract | The technique of stochastic simulation (1-lanks and McGuire, 1981; Boore and Atkinson, 1987) is a commanding method which combines parametric/functional explanations of the amplitude spectrum with a random phase spectrum - such that the motion is spread over an interval which is nearly around the earthquake magnitude and the distance from the source. It is very useful for simulating higher frequency ground motions (f> 0.11lz ), and hence is widely used to predict ground motions for those regions of the world where recordings of motion for prospective damaging earthquakes is not available. In this dissertation Strong motion data of the Niigata Earthquake (magnitude = 6.8 ) of 23rd October 2004 has been simulated using the stochastic method:. A set of basic source model parameters were chosen as part of the method. The Quality factor ( Q) was taken to be: Q(f) for Niigala region 158 f°7 (ftotn Kiyono 1992 ). : In the first part records have been simulated at four stations at the rock level using the stochastic technique. This simulated data has then convolved by the consequence of the local site conditions to result in the acceleration spectra at the surface using the program SHAKE | en_US |
dc.description.sponsorship | INDIAN INSTITUTE OF TECHNOLOGY ROORKEE | en_US |
dc.language.iso | en | en_US |
dc.publisher | I I T ROORKEE | en_US |
dc.subject | Hanks | en_US |
dc.subject | McGuire | en_US |
dc.subject | Atkinson | en_US |
dc.subject | Niigata Earthquake | en_US |
dc.title | STOCHASTIC SIMULATION OF STRONG GROUND MOTION | en_US |
dc.type | Other | en_US |
Appears in Collections: | MASTERS' THESES (Earth Sci.) |
Files in This Item:
File | Description | Size | Format | |
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G22742.pdf | 7.68 MB | Adobe PDF | View/Open |
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