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Frequency: Quarterly
ISSN: 1941-7020 (Print)
ISSN: 1941-7039 (Online)
Research Article Open Access

Probabilistic Empirical Green's Function Method in Ground Motion Simulation

Ehsan Khojastehfar1, Amir Saedi Daryan1 and Mohammad Amin Assareh1
  • 1 K.N. Toosi University of Technology, Iran

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.

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

Open AccessCopyright: © 2009 Ehsan Khojastehfar, Amir Saedi Daryan and Mohammad Amin Assareh. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

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