Peak ground acceleration prediction by fuzzy logic modeling for Iranian plateau

Acta Geophysica

article

Karimi Ghalehjough, Babak¹  Mahinroosta, Reza² 

[1] Civil Engineering Department, Erzurum Technical University;CSU Engineering, Faculty of Business, Justice and Behavioral Sciences, Charles Sturt University

关键词: Attenuation relationships;    Fuzzy logic modeling;    Earthquake input motion;    Peak ground acceleration;   

DOI  :  10.1007/s11600-019-00394-z

学科分类：地球科学(综合)

来源: Polska Akademia Nauk * Instytut Geofizyki

【 摘 要 】

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.

【 授权许可】

Unknown