Research Article Open Access

Probabilistic Empirical Green's Function Method in Ground Motion Simulation

Ehsan Khojastehfar1, Amir Saedi Daryan2 and Mohammad Amin Assareh2
  • 1 ,
  • 2 , Afganistan
American Journal of Engineering and Applied Sciences
Volume 2 No. 1, 2009, 160-164

DOI: https://doi.org/10.3844/ajeassp.2009.160.164

Submitted On: 13 July 2008 Published On: 31 March 2009

How to Cite: 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

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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Keywords

  • Strong ground motion simulation
  • probability
  • logic tree method
  • empirical green’s function
  • GIS
  • process
  • parameter