Prediction of site response spectrum under earthquake vibration using an optimized developed artificial neural network model

• Autorzy: Esmaeilabadi R. , Shahri A. A.

Identyfikatory

DOI

10.12913/22998624/62920

• Języki publikacji: EN

Abstrakty

EN

Site response spectrum is one of the key factors to determine the maximum acceleration and displacement, as well as structure behavior analysis during earthquake vibrations. The main objective of this paper is to develop an optimized model based on artificial neural network (ANN) using five different training algorithms to predict nonlinear site response spectrum subjected to Silakhor earthquake vibrations is. The model output was tested for a specified area in west of Iran. The performance and quality of optimized model under all training algorithms have been examined by various statistical, analytical and graph analyses criteria as well as a comparison with numerical methods. The observed adaptabilities in results indicate a feasible and satisfactory engineering alternative method for predicting the analysis of nonlinear site response.

Słowa kluczowe

EN

nonlinear; site response spectrum; optimized ANN model; Iran; analyses criteria

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2016
• Tom: Vol. 10, nr 30
• Strony: 76--83
• Opis fizyczny: Bibliogr. 34 poz., fig., tab.

Twórcy

autor

Esmaeilabadi R.

• Department of Civil Engineering, College of Civil Engineering, Roudehen branch, Islamic Azad University, Roudehen, Tehran, Iran
• [e-mail]

autor

Shahri A. A.

• Department of Civil and Architectural Engineering, KTH Royal Institute of Technology, Stockholm, Sweden

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