防灾减灾工程学报2024，Vol.44Issue(2)：362-371,10.DOI:10.13409/j.cnki.jdpme.20221209002
基于神经网络的跨越地裂缝框架结构地震损伤及预测研究
Seismic Damage Analysis of Frame Structures Spanning Ground Fissures Based on Neural Network
摘要
Abstract
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.关键词
地裂缝/框架结构/数值分析/神经网络/损伤预测Key words
ground fissure/frame structure/numerical analysis/neural networks/damage prediction分类
建筑与水利引用本文复制引用
熊仲明,熊俊龙,王泽坤,陈轩..基于神经网络的跨越地裂缝框架结构地震损伤及预测研究[J].防灾减灾工程学报,2024,44(2):362-371,10.基金项目
国家自然基金面上项目(51278395)、陕西省自然基金重点项目(2022JZ-23)资助 （51278395）
