USING NEURAL NETWORK FOR PREDICTION OF THE DYNAMIC PERIOD AND AMPLIFICATION FACTOR OF SOIL FOR MICROZONATION IN URBAN AREA
Millions of 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. Sites 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. Softwares 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.
Microzoation Neural Network Dynamic Period Amplification Factor
Tahamoli Roodsari,Mehrzad Habibi,Mohammad Reza
M.S.in Earthquake Eng.,Faculty of civil Engineering Dept.,AZAD University,Kermanshah,Iran M.S.in Geotechnical Eng.,Faculty of civil Engineering Dept.,AZAD University,Kermanshah,Iran
国际会议
14th World Conference on Earthquake Engineering(第十四届国际地震工程会议)
北京
英文
2008-10-12（万方平台首次上网日期，不代表论文的发表时间）