碳纤维布加固钢纤维混凝土梁的抗弯性能预测

A Prediction Method for Flexural Behavior of Fiber Reinforced Concrete Beam with Carbon Fiber Sheet

在碳纤维布加固钢筋钢纤维混凝土梁中,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.针对这一问题,在试验研究的基础上,运用神经网络方法,以钢纤维混凝土强度、截面尺寸、纵向钢筋配筋率等10个变量作为输入单元,以加固梁的抗弯承载力作为输出单元,建立了预测加固梁抗弯承载力的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 fiber reinforced concrete structure, the strengthening effect is influenced by the structure needed to be strengthened, 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 bending strength of fiber reinforced concrete beams strengthened with carbon fiber sheet is taken as an example in this paper, and a BP Neutral Network model is established to predict the bending strength of fiber reinforced concrete beams using neutral network method. Through the comparison between the prediction value and experiment results, the rationality and validity of the proposed model are verified.