基于BP网络的碳纤维混凝土强度研究

介绍了应用均匀设计理论设计碳纤维混凝土配方的方法,通过所得到的试验数据,运用人工神经网络(ANN)的方法预测碳纤维混凝土抗压强度和劈裂抗拉强度;阐述了采用BP算法建立碳纤维混凝土抗压强度神经网络模型的过程,仿真结果表明,BP网络可成功地建立非线性的强度模型,预测强度可达到较高精度。

Research on CFRC strength based on BP networks

This thesis introduces the optimizing methods of recipes for carbon fiber reinforced concrete(CFRC) with uniform design theory used.With test statistics acquired through enormous experiments,the artificial neural networks(ANN) method is applied to calculate the compression,extension and cleavage strength of CFRC.The thesis shows a detailed model building process of the compression strength neural networks for CFRC with BP algorithms adopted.The result shows that the BP networks can be successfully used to build nonlinear strength model and the strength calculation reaches a high level of accuracy.