@article {10.3844/ajeassp.2009.160.164,
article_type = {journal},
title = {Probabilistic Empirical Green's Function Method in Ground Motion Simulation },
author = {Khojastehfar, Ehsan and Daryan, Amir Saedi and Assareh, Mohammad Amin},
volume = {2},
number = {1},
year = {2009},
month = {Mar},
pages = {160-164},
doi = {10.3844/ajeassp.2009.160.164},
url = {https://thescipub.com/abstract/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.},
journal = {American Journal of Engineering and Applied Sciences},
publisher = {Science Publications}
}