泄流激励下混凝土坝原型振动测试及其模态参数识别

Prototype vibration test and modal parameter identification of concrete dam under discharge excitation

  • 摘要: 混凝土坝在各种荷载和材料老化联合作用下结构易出现损伤,甚至产生破坏。基于环境激励下的振动测量,分析结构动力特性,评估结构健康状况,预测其耐久性和安全性,特别适用于混凝土坝这类大型结构健康状态的整体评估。本研究利用加速度传感器在某拱坝开展环境激励下的振动测试,结合改进参考度的近邻传播聚类(improved preference-affinity propagation,IPAP)算法和Hankel矩阵联合近似对角化(Hankel matrix joint approximate diagonalization,HJAD)方法,形成了模态参数自动识别的IPAP-HJAD方法。该方法消除了异常值对模态聚类中心选择的影响,提高了模态识别结果的鲁棒性和稳定性,从而实现大坝模态参数的自动准确识别。通过数值算例验证了提出的模态参数识别方法的有效性和准确性,并将该方法应用于混凝土坝原型振动测试,验证其在实际工程中的适用性。该研究为环境激励下混凝土坝振动测试分析和结构健康诊断提供一定的参考。

     

    Abstract: Under the combined action of various loads and material aging, the structure of concrete dam is prone to damage, even damage. Based on the vibration measurement under environmental excitation, this paper analyzes the dynamic characteristics of the structure, evaluates the health status of the structure, and predicts its durability and safety, which is especially suitable for the overall assessment of the health status of large structures such as concrete dams. In this study, the acceleration sensor was used to carry out the vibration test of an arch dam under environmental excitation, and the IPAP-HJAD method for automatic modal parameter identification was formed by combining the improved preference affinity propagation (IPAP) algorithm with the Hankel matrix joint approximate diagonalization (HJAD) method. This method eliminates the influence of outliers on the selection of modal clustering centers, improves the robustness and stability of modal identification results, and realizes the automatic and accurate identification of dam modal parameters. The effectiveness and accuracy of the proposed modal parameter identification method are verified by numerical examples, and the method is applied to the vibration test of concrete dam prototype to verify its applicability in practical engineering. This study provides a reference for the vibration test analysis and structural health diagnosis of concrete dams under environmental excitation.

     

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