000011795 001__ 11795
000011795 005__ 20141205155947.0
000011795 04107 $$aeng
000011795 046__ $$k2008-10-12
000011795 100__ $$aTahamoli Roodsari, Mehrzad
000011795 24500 $$aUsing Neural Network for Prediction of the Dynamic Period and Amplification Factor of Soil for Microzonation in Urban Area

000011795 24630 $$n14.$$pProceedings of the 14th World Conference on Earthquake Engineering
000011795 260__ $$b
000011795 506__ $$arestricted
000011795 520__ $$2eng$$aMillions 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. 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.

000011795 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000011795 653__ $$aMicrozoation, Neural Network, Dynamic Period, Amplification Factor

000011795 7112_ $$a14th World Conference on Earthquake Engineering$$cBejing (CN)$$d2008-10-12 / 2008-10-17$$gWCEE15
000011795 720__ $$aTahamoli Roodsari, Mehrzad$$iMohammad Reza, Habibi
000011795 8560_ $$ffischerc@itam.cas.cz
000011795 8564_ $$s406352$$uhttps://invenio.itam.cas.cz/record/11795/files/04-01-0013.pdf$$yOriginal version of the author's contribution as presented on CD, Paper ID: 04-01-0013.
000011795 962__ $$r9324
000011795 980__ $$aPAPER