Attenuation relationships of Arias intensity for Iranian plateau using intelligent Gene Expression Programming

Document Type : Original Article

Authors

1 Department of Civil Engineering, Shahrood university, Shahrood,Iran

2 Assistant Professor, School of Civil Engineering, Shahrood University of Technology, Shahrood, Iran

3 Road, Housing & Urban Development Research Center, Tehran, Iran

Abstract

The earthquake is one of the natural hazards that have caused many casualties and financial losses throughout the world over the years. This has been the reason why the earthquake hazard analysis studies should be studied more seriously. Iran is also located in one of the seismically active regions of the world, the Himalayan- Alpine belt, which experiences many earthquakes every year. The Arias intensity function, as one of the important earthquake strong motion parameters, contributes greatly to the analysis of seismic hazard, which can be used to estimate the stability of slopes during the earthquake. The purpose of this research is to develop a new attenuation relationship for Arias intensity function in the Iranian plateau using intelligent methods. In this research, 1012 strong motion data were used. Initially, the data required to be filtered were corrected and then all data was analyzed. In this study, parameters such as magnitude of earthquake, focal depth, shear wave velocity and geographic position of the region were used as a variable for the attenuation relationship. Moment magnitude (Mw) was used as earthquake magnitude and earthquakes with magnitudes of above 4 were used in this research. The geographic location of Iran was divided into two regions of Central Alborz and the Zagros region. Gene Expression Programming (GEP), a kind of intelligent algorithm, was used as a method for regression and calculation of the objective function. The advantage of this method is that at first the model for the objective function is not specified and the model is presented optimally by the intelligent method. The fitness function is also defined based on the root least squared error (RMSE). Finally, the attenuation relation based on this fitness function was calculated and the observed results have a high fitness.

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References

[1] Satake, K. and Atwater, B.F. (2007). Long-Term Perspectives on Giant Earthquakes and Tsunamis at Subduction Zones. Annual Review of Earth and Planetary Sciences, Vol. 35, pp. 349–374.
[2] Hadian, A. and Zafarani, H. and Farjoodi, J. (2015). Investigation of Source Parameters of Roudbar-Manjil Earthquake Using Hybrid Simulation Method. Journal of Structural and Construction Eng., Vol. 2, No. 1. (in Persian)
[3] Zare, M. and Kamranzad, F. (2015), Seismic Distribution in Iran. Journal of Spatial Analysis Environmental Hazarts, Vol. 1, No. 4, pp.39-58. (in Persian)
[4] Kramer, S.L. (1996). Geotechnical Earthquake Engineering. Prentice-Hall Inc., New Jersey, p. 653.
[5] Somerville, P.G. and Graves, R.W. (2003). Characterization of earthquake strong ground motion. Pure Applied Geophysics, Vol. 160, pp.1811-1828.
[6] Bozorgnia, Y. and Bertero, V. (2004). Earthquake Engineering: From Engineering Seismology to Performance-Based Engineering. CRC Press, Boca Raton, FL, USA.
[7] Khademi, M.H. (2002). Attenuation of peak and spectral accelerations in the Persian plateau. In Proceedings of Twelfth European Conference on Earthquake Engineering, pp.330.
[8] Wilson, R.C. and Keefer, D.K. (1985). Predicting the areal limits of earthquake-induced landsliding. In: Ziony JI, editor. Evaluating earthquake hazards in the Los Angeles region an earth science perspective. US Geologica lSurvey, Professional Paper1360, pp. 45–316.
[9] Jibson, R.W. (1987). Summary of research on the effects of topographic amplification of earthquakes shaking on slope stability, US Geological Survey, Menlo Park, California, Open File Report 87-268.
[10] Sabetta, F. and Pugliese, A. (1996). Estimation of response spectra and simulation of nonstationary earthquake ground motions. Bulletin of the Seismological Society of America, Vol. 86, No. 2, pp.337–352.
[11] Hwang, H. and Lin, C.K. and Yeh, Y.T. and Cheng, S.N. and Chen, K.C. (2004). Attenuation relations of Arias intensity based on the Chi-Chi Taiwan earthquake data. Soil Dynamics and Earthquake Eng., Vol. 24, pp. 17–509.
[12] Travasarou, T. and Bray, J.D. and Abrahamson, N.A. (2003). Empirical attenuation relationship for Arias Intensity. Earthquake Eng. Structure Dynamics, Vol. 32, pp. 55–1133.
[13] Mahdavifar, M. and Jafari, M.K. and Zolfaghari, M.R. (2007). The attenuation of Arias Intensity in Alborz and Central Iran. In Proceedings of the fifth international conference on seismology and earthquake engineering, Tehran, Iran.
[14] Rajabi, A.M. and Khamehchiyan, M. and Mahdavifar, M. and DelGaudio, V. (2010). Attenuation relation of Arias intensity for Zagros Mountains region (Iran). Soil Dynamics and Earthquake Eng., Vol. 30, pp.110-118.
 [15] Ghodrati Amiri, G. and zahedi, M. and Mahdavian, A. and Gholami, S. (2004). Appropriate frequency band for correcting for Iranian Accelerograms in diffrenet site conditions. Journal of Faculty of Eng., University of Tehran, Vol. 38, No. 2, pp. 231–249. (in Persian)
[16] Vice Presidency for Strategic Planning and Supervision, (2014). Guideline for Seismic Hazard Analysis, Code No.626. (in Persian)
[17] Ministry of Energy, (2000). History of Attenuation models and criteria for selecting appropriate models, Code No.134. (in Persian)
[18] Mirzaei, H. (2000). Geological Site Investigation on Some Accelerograph Stations in Iran through Geophysical Method. BHRC publication No. 324, Tehran, Iran. (in Persian)
[19] Road, Housing and Urban Development Research Center, (2014). Iranian Code of Practice for Seismic Resistant Design of Buildings, Standard No.2800, 4th Edition. (in Persian)
[20] Ghodrati Amiri, G. and Shamekhi Amiri, M. Namiarnian, P. and Emadzadeh, A. (2013). Attenuation relationship for inelastic earthquake spectra in Iran. Proceedings of the Institution of Civil Engineers.
[21] Ferreira, C. (2001). Gene expression programming: A new adaptive algorithm for solving problems. Vol. 13(2), pp. 87–129.
[22] Ferreira, C. (2006). “Gene expression programming: Mathematical modeling by an artificial intelligence. Springer-Verlag.
[23] Ghodrati Amiri, G. and Shamekhi Amiri, M. (2015). Attenuation relationships for peak ground acceleration in the Iranian plateau using Gene Expression Programming (GEP). Civil Engineering Sharif, Vol. 38, No. 2. (in Persian)
[24] Ghodrati Amiri, G. and Mahdavian, A. and Manouchehri Dana, F. (2007). Attenuation relationships for Iran. Journal of Earthquake Eng., Vol. 11, No. 4, pp. 469-492.

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History

  • Receive Date: 26 November 2018
  • Revise Date: 10 April 2019
  • Accept Date: 21 April 2019

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