PREDICTION OF SITE RESPONSE SPECTRUM UNDER EARTHQUAKE VIBRATION USING AN OPTIMIZED DEVELOPED ARTIFICIAL NEURAL NETWORK MODEL
| Autor: | Abbas Abbaszadeh Shahri, Reza Esmaeilabadi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Engineering
Technology 010504 meteorology & atmospheric sciences site response spectrum 0211 other engineering and technologies Manufactures Keywords: nonlinear 02 engineering and technology Iran 01 natural sciences Environmental technology. Sanitary engineering Displacement (vector) TS1-2301 Acceleration optimized ANN model TJ1-1570 Mechanical engineering and machinery Response spectrum TD1-1066 021101 geological & geomatics engineering 0105 earth and related environmental sciences Artificial neural network business.industry Numerical analysis General Medicine Structural engineering Engineering (General). Civil engineering (General) Vibration Nonlinear system Graph (abstract data type) TA1-2040 business analyses criteria |
| Zdroj: | Advances in Science and Technology Research Journal, Vol 10, Iss 30, Pp 76-83 (2016) |
| ISSN: | 2299-8624 2080-4075 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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