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Peak ground acceleration prediction by fuzzy logic modeling for Iranian plateau

  • Research Article - Solid Earth Sciences
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Abstract

In this study, fuzzy logic modeling is applied to a complex and nonlinear set of data to predict both horizontal and vertical peak ground accelerations in Iranian plateau. The data used for the model include an up-to-date seismic catalogue from earthquakes in Iran for prediction of both horizontal and vertical acceleration of a probable earthquake. Fuzzy logic toolbox on MATLAB program was used for modeling. Earthquake magnitude ranging from 4 to 7.4, source-to-site distance from 7 to 80 km and three different site conditions were considered: rock, stiff soil and soft soil. Results are compared with those from worldwide and regional attenuation relationships, which show the higher capability of the model in comparison with the other models. After training the model, testing of the fuzzy model with the remaining data set was performed to confirm the accuracy of the model. Changes in the peak ground accelerations in connection with changes in input parameters are studied which are in agreement with basic characteristics of earthquake input motions.

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Acknowledgements

We thank the Road, Housing and Urban Development Research Centre, Tehran, Iran, for providing us with the strong-motion database. The authors also gratefully acknowledge the support from Ali Beitollahi, Head of Engineering Seismology Department at this research center, and Mehdi Zare from International Institute of Earthquake Engineering and Seismology (IIEES) for their critical and helpful comments, which have led to significant improvement of the article. The authors also thank Ataturk University for using MATLAB at its computer laboratory.

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  1. Civil Engineering Department, Erzurum Technical University, Room: K1-08, 25050, Erzurum, Turkey

    Babak Karimi Ghalehjough

  2. CSU Engineering, Faculty of Business, Justice and Behavioral Sciences, Charles Sturt University, Panorama Avenue, Bathurst, NSW, 2795, Australia

    Reza Mahinroosta

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  1. Babak Karimi Ghalehjough
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Correspondence to Babak Karimi Ghalehjough.

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Karimi Ghalehjough, B., Mahinroosta, R. Peak ground acceleration prediction by fuzzy logic modeling for Iranian plateau. Acta Geophys. 68, 75–89 (2020). https://doi.org/10.1007/s11600-019-00394-z

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