摘要
通过收集大量试验资料 ,建立了基于BP神经网络预测碳纤维加强复合材料 (CFRP)加固混凝土方柱抗压性能的网络结构模型 ,通过网络模拟预测值与真实试验值的比较 ,证明了该网络模型能够有效地预测加固后的混凝土方柱抗压性能 ,并对影响加固效果的各个因素进行了初步分析 ,其结论符合研究报道。
Through collecting a lot of test information,a BP neural network is set up, whi ch can forecast the compression-resisting of square section-concrete columns r einforced with CFRP. By comparing the simulation data with those of the experime nt, it is proved that the network can forecast efficiently; and the factors infl uencing the reinforcing effect are also analysed and the conclusions are in acco rd with the research report.
出处
《工业建筑》
CSCD
北大核心
2005年第1期75-78,共4页
Industrial Construction
基金
国家 8 63计划资助项目 (编号 2 0 0 1AA3 3 60 10 )
