چکیده مقاله
Ductility of structure is an essential property of structures responding inelastically during severs shaking, such as earthquake As a result, the inertial forces imposed to the structures can be decreased Several forms of ductility are often considered, these include curvature and displacement ductility The calculation of the accurate values of ductility of members is usually complicated and therefore a direct and accurate approach to obtain such value is necessary needed particularly in seismic regions In this paper, one method is considered to calculate the flexural curvature ductility ratio of reinforced concrete RC sections In this approach to calculate curvature ductility factor of RC beams was presented by using artificial neural network ANN To investigate the performance and accuracy of the ANN method, fifteen high strength concrete HSC beams were casted and tested under bending and also the available results of thirty eight beams were selected from the literature Based on the obtained experimental results a comparison was made experimental results and artificial neural network, and it was shown that a goodagreement is available
کلیدواژهها
نویسندگان
M. Abdollahtabar
M S student of structural engineering, University of Mazandaran, Babolsar, Iran
H. Akbarzadeh Bengar
Department of Civil Engineering, University of Mazandaran, Babolsar, Iran
شیوه ارجاع
Abdollahtabar, M. and Akbarzadeh Bengar, H.,1394,Artificial neural network Approach for Ductility Computation of Flexural RC Members,10th International Congress on Civil Engineering,Tabriz
ارائهشده در
مجموعه مقالات دهمین کنگره بین المللی مهندسی عمران15 اردیبهشت 1394 · تبریز