基于递归图和BP神经网络的桥梁损伤识别研究

Research on bridge damage identification based on recurrence plot and BP neural network

为研究递归图和多层前馈(BP)神经网络在桥梁损伤识别方面的应用,以某大跨斜拉桥为例,采用ABAQUS有限元软件建立其三维模型,通过动力分析提取该三维模型的加速度曲线并进行递归图处理和BP神经网络分析。研究结果表明:递归图方法能够初步地识别主梁的损伤位置和损伤程度;BP神经网络分析能够精确识别主梁损伤的具体位置和损伤程度值,且识别准确率均大于85.0%。该方法可为类似桥梁工程的损伤识别提供借鉴。

To study the damage identification of bridges using recursive graphs and BP neural networks,taking a certain large cable-stayed bridge as an example,a three-dimensional model was established using ABAQUS finite element software.The acceleration curve of this three-dimensional model was extracted through dynamic analysis and subjected to recursive graph processing and BP neural network analysis.The research results indicate that the recursive graph method can preliminarily identify the location and extent of damage to the main beam.The BP neural network analysis can accurately identify the specific location of damage to the main beam and the degree of damage,with an identification accuracy above 85.0%.This method can provide a reference for damage identification in similar bridge engineering projects.