Seismic Damage Analysis of Frame Structures Spanning Ground Fissures Based on Neural Network
To carry out structural damage analysis on structures under special geological conditions,a five-story frame structure spanning the f4 ground fissure in Xi'an was taken as the research object.Based on the results from shaking table tests and ABAQUS finite element analysis,a BP neural net-work model was trained.A two-parameter damage model combining deformation and energy was em-ployed to calculate structural damage index.The weighted coefficient method was used to carry out the damage prediction analysis of components,floors,and structures,providing evaluations of struc-tural damage under different seismic impacts.The results showed that the structure on the ground fis-sure site exhibited a significant hanging-wall/footwall effect,with the first layer being the weak layer.The BP neural network's damage prediction values closely aligned with the finite element calculation values across different conditions.The maximum prediction errors for components,inter-layer,and overall structural damage indices were 8.86%,5.66%,and 7.57%,respectively.
国家科技期刊平台
NSTL
万方数据
维普
