摘要
在碳纤维布加固钢筋混凝土结构中,加固效果要受到被加固结构本身性能、加固材料性能以及荷载情况等因素的影响,因此,加固效果具有极高的非线性。为了预测碳纤维布的加固效果,本文以碳纤维布加固钢筋混凝土梁中碳纤维布的抗剪性能为例,运用神经网络方法,建立了预测碳纤维布抗剪性能的BP神经网络模型。通过预测值与试验值的对比分析,验证了该模型的科学性和合理性。
When carbon fiber sheet (CFS) is used in the strengthening of reinforced concrete structure, the strengthening effect is influenced by the structure need to be strengthened itself, the properties of strengthening materials and the loading conditions, etc. therefore, the strengthening effect has high nonlinearity. In order to predict the strengthening effect of carbon fiber sheet, the shear strength of carbon fiber sheet in strengthening a reinforced concrete beam is taken as an example in this paper, and a BP Neutral Network model is established to predict the shear strength of carbon fiber sheet using neutral network method. Through the comparison between the prediction value and experiment results, the rationality and validity of the proposed model are verified.
出处
《河南科学》
2004年第4期512-514,共3页
Henan Science
关键词
BP神经网络
碳纤维布
抗剪能力
预测
BP neutral network
carbon fiber sheet
shear strength
prediction
