Prediction of Peak Ground Acceleration by the Genetic Programming
Publish place: International Conference on Contemporary Iran in Civil Engineering , Architecture and Urban Development
Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CICEAUD01_0498
تاریخ نمایه سازی: 29 فروردین 1397
Abstract:
Peak ground acceleration (PGA) has still been considered one of the important factor that plays the significant role on the earthquake-induced damage of structures. Thus, prediction of the PGA and selection of appropriate ground motion models often have become a valuable topic for seismic hazard assessments. With using some strong ground motion from Iran prediction of GPA by applying Genetic Programming is scrutinized in this study. The proposed GP models are based on the most reliable database compiled for earthquakes in Silakhor Plain, Lorestan, Iran. In GP modeling processes, Frequency and the earthquake source to site distance are considered as inputs and PGA values as the output consequently. The results show that, the obtained results represent the appropriate performance genetic programming in the estimation of the PGA and the consistency between the observed PGA values and the predicted ones by the GP models yield relatively high correlation coefficients (R=0.80).
Keywords:
attenuation relationships , earthquake engineering , genetic programming , PGA , strong ground motion parameters
Authors
Hashem Nakheiynejad
CalTeh institute in Tehran, No.۶, Nouhi alley, Jaam alley, Brizil sharqi St, Vanak Sq, Tehran, Iran.
Ali Honarjoo
Azad Islamic University of Broujerd,
Mehdi Golvand
Golvand is with Islamic Azad University, South Tehran
Mehdi Komasi
University of Ayatollah Borujerdi, faculty of engineering, Civil Engineering Department, Borujerd, Lorestan province, Iran