Prediction of Peak Ground Acceleration by the Genetic Programming

سال انتشار: 1396
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 473

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شناسه ملی سند علمی:

CICEAUD01_0498

تاریخ نمایه سازی: 29 فروردین 1397

چکیده مقاله:

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).

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نویسندگان

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