Title of article
A New Peak-Ground-Acceleration Prediction Model by Using Genetic Optimization Techniques for Iranian Plateau Database
Author/Authors
Rahpeyma ، Sahar نويسنده Graduate Student, Dept. of Civil Engineering, Faculty of Engineering, Arak University, Iran Rahpeyma , Sahar , Azarbakht، Alireza نويسنده Assistant Prof., Department of Civil Engineering, Faculty of Engineering, Arak Univ., Iran Azarbakht, Alireza , Mousavi، Mehdi نويسنده Associate Professor, Dept. of Civil Engineering, Faculty of Engineering, Arak University, Iran Mousavi, Mehdi
Issue Information
فصلنامه با شماره پیاپی 49-50 سال 2013
Pages
18
From page
153
To page
170
Abstract
The main scope of this paper is to study an application of evolutionary algorithms, i.e. genetic algorithm and genetic programming (GP), for obtaining Peak Ground Acceleration (PGA) prediction model in the case of Iranian database. The proposed GP model is compared with a set of existing attenuation relationships via several traditional and modern mathematical and statistical methods. A new re-sampling approach is also introduced to assess the stability of the chosen models. The obtained model shows clearly more consistency with the local data in comparison with the other selected models.
Journal title
Journal of Seismology and Earthquake Engineering (JSEE)
Serial Year
2013
Journal title
Journal of Seismology and Earthquake Engineering (JSEE)
Record number
1885933
Link To Document