Probabilistic Empirical Green's Function Method in Ground Motion Simulation
Ehsan Khojastehfar1, Amir Saedi Daryan1 & Mohammad Amin Assareh1 Show affiliations
- K.N. Toosi University of Technology, Iran
American Journal of Engineering and Applied Sciences, Volume 2, Issue 1, pp. 160–164 · doi.org/10.3844/ajeassp.2009.160.164
Abstract
Problem statement: The Empirical Green's Function method is used to synthesize strong ground motion time histories.In previous simulation processes parameters were taken deterministically. Approach: In this study, the probabilistic consideration for some of these parameters was inserted to the process. For implementing this method a computer program was developed in GIS. GIS abilities for storing and processing geographic data is used to make Strong Ground motion simulation more convenient. Results: The 2003 Bam Earthquake strong ground motions were used for the simulation. Also for considering the probabilistic parameters the Logic Tree method is used. Conclusions/Recommendations: Probability distribution of peak ground acceleration and spectral acceleration are presented as the results of probabilistic simulation.
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Khojastehfar, E., Daryan, A. S. & Assareh, M. A. (2009). Probabilistic Empirical Green's Function Method in Ground Motion Simulation . American Journal of Engineering and Applied Sciences, 2(1), 160–164. https://doi.org/10.3844/ajeassp.2009.160.164
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