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Peak ground acceleration prediction by fuzzy logic modeling for Iranian plateau

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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 diferent site conditions were considered: rock, stif 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 confrm 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.
Czasopismo
Rocznik
Strony
75--89
Opis fizyczny
Bibliogr. 55 poz.
Twórcy
  • Civil Engineering Department, Erzurum Technical University, Room: K1-08, 25050 Erzurum, Turkey
  • CSU Engineering, Faculty of Business, Justice and Behavioral Sciences, Charles Sturt University, Panorama Avenue, Bathurst, NSW 2795, Australia
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Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-529b4468-86a5-428c-9527-c6cec5dc2feb
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