Zheng Shansuo, Wang Fan, Wei Li, He Wei. STUDY OF DISPLACEMENT DUCTILITY FACTOR OF STEEL REINFORCED HIGH STRENGTH CONCRETE FRAME COLUMNS[J]. INDUSTRIAL CONSTRUCTION, 2014, 44(12): 137-141. doi: 10.13204/j.gyjz2001412023
Citation:
Zheng Shansuo, Wang Fan, Wei Li, He Wei. STUDY OF DISPLACEMENT DUCTILITY FACTOR OF STEEL REINFORCED HIGH STRENGTH CONCRETE FRAME COLUMNS[J]. INDUSTRIAL CONSTRUCTION, 2014, 44(12): 137-141. doi: 10.13204/j.gyjz2001412023
Zheng Shansuo, Wang Fan, Wei Li, He Wei. STUDY OF DISPLACEMENT DUCTILITY FACTOR OF STEEL REINFORCED HIGH STRENGTH CONCRETE FRAME COLUMNS[J]. INDUSTRIAL CONSTRUCTION, 2014, 44(12): 137-141. doi: 10.13204/j.gyjz2001412023
Citation:
Zheng Shansuo, Wang Fan, Wei Li, He Wei. STUDY OF DISPLACEMENT DUCTILITY FACTOR OF STEEL REINFORCED HIGH STRENGTH CONCRETE FRAME COLUMNS[J]. INDUSTRIAL CONSTRUCTION, 2014, 44(12): 137-141. doi: 10.13204/j.gyjz2001412023
The displacement ductility factor of SRHSC frame columns was studied by the experimental results of 80
C60—C80 column specimens subjected to a constant axial load and cyclic lateral loads. A 4-6-1 BP neural network
model was built by using artificial neural network theory based on MATLAB. Furthermore,the influence law and
influence mechanism of concrete strength,axial compression ratio,stirrup ratio,shear span ratio on the displacement
ductility were investigated by the BP neural network model. The displacement ductility factor calculation model was
built based on the influence law of every influencing factor on the displacement ductility. The displacement ductility
factor empirical formula considering multiple influencing factors was proposed through multi-variant nonlinear
regression analysis on the experimental data and network predicted data,which provided reference for seismic and
optimal design for SRHSC frame columns.