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Using Neural Network for Prediction of the Dynamic Period and Amplification Factor of Soil for Microzonation
M.H. Baziar, H. Sharafi College of Civil Engineering, Iran; University of Science and Technology, Tehran, Iran M. Tahamoli Roodsari, M.R. Habibi Islamic Azad University, Kermanshah, Iran
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ABSTRACT |
Millions in financial losses and thousands of people which die are due to earthquakes that happen every now and then in all corners of the world. Safety against the hazards of earthquake relates to two basic factors: safety of the structure and site. Site's conditions play an important role in damages of structures. This factor has a geotechnical cause and could be appeared as seismic wave amplification and change in frequency content. Major point in this article is to determine the dynamic period and amplification factor of soil, that in order of calculating them neural network and engineering software has been used. Software's inputs are dynamical and geotechnical soil data profiles and its outputs are amplification factor (Af) and dynamic period (Td) of soil. Afterwards these data will be used to train the neural network. Finally the advantages of using neural network and effective factors to its precision will be considered.
Keywords: Microzoneation, Neural Network, Dynamic Period, Amplification Factor
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