State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang 050043, China.
Department of Engineering Mechanics, Shijiazhuang Tiedao University, Shijiazhuang 050043, China.
Sensors (Basel). 2023 Jan 11;23(2):860. doi: 10.3390/s23020860.
A new damaged cable identification method using the basis vector matrix (BVM) is proposed to identify multiple damaged cables in cable-stayed bridges. The relationships between the cable tension stiffness and the girder bending strain of the cable-stayed bridge are established using a force method. The difference between the maximum bending strains of the bridges with intact and damaged cables is used to obtain the damage index vectors (DIXVs). Then, BVM is obtained by the normalized DIXV. Finally, the damage indicator vector (DIV) is obtained by DIXV and BVM to identify the damaged cables. The damage indicator is substituted into the damage severity function to identify the corresponding damage severity. A field cable-stayed bridge is used to verify the proposed method. The three-dimensional finite element model is established using ANSYS, and the model is validated using the field measurements. The validated model is used to simulate the strain response of the bridge with different damage scenarios subject to a moving vehicle load, including one, two, three, and four damaged cables with damage severity of 10%, 20%, and 30%, respectively. The noise effect is also discussed. The results show that the BVM method has good anti-noise capability and robustness.
提出了一种利用基矢量矩阵（BVM）的新的损伤电缆识别方法，以识别斜拉桥中的多个损伤电缆。利用力法建立斜拉桥中电缆张力刚度与梁弯曲应变之间的关系。利用无损伤和损伤电缆的桥梁最大弯曲应变之间的差异来获得损伤指数向量（DIXV）。然后，通过归一化 DIXV 得到 BVM。最后，通过 DIXV 和 BVM 得到损伤指示向量（DIV），以识别损伤的电缆。将损伤指示代入损伤严重度函数，以识别相应的损伤严重度。采用现场斜拉桥验证了该方法。使用 ANSYS 建立了三维有限元模型，并使用现场测量对模型进行了验证。利用验证后的模型模拟了不同损伤场景下移动车辆荷载作用下桥梁的应变响应，包括一根、两根、三根和四根损伤程度分别为 10%、20%和 30%的损伤电缆。还讨论了噪声的影响。结果表明，BVM 方法具有良好的抗噪声能力和鲁棒性。
