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结构损伤引起的损伤特征参数的变化往往被环境因素(温度、质量)变化引起的损伤特征参数的变化所掩盖,从而导致基于振动的损伤识别方法失效。该文利用时间序列中的AR模型系数和计量经济学中的协整进行环境因素(温度、质量)影响下的海洋平台结构损伤识别研究。首先利用AR模型对实测的加速度响应信号进行拟合,选择第一阶AR系数为协整变量,然后对不同节点的协整变量进行协整,将协整残差作为损伤指标,最后通过X-bar控制图进行结构的损伤识别。海洋平台结构的数值模拟和振动台模型试验结果验证了该方法的有效性。
The change of damage characteristic parameters caused by structural damage is often masked by the change of damage characteristic parameters caused by environmental factors (temperature and mass), which leads to the failure of vibration-based damage identification methods. This paper uses the AR model coefficients in time series and co-integration in econometrics to study the structural damage identification of offshore platforms under the influence of environmental factors (temperature and mass). Firstly, the AR model was used to fit the measured acceleration response signals. The first-order AR coefficients were chosen as co-integration variables. Then the co-integration variables of different nodes were co-integrated. The co-integration residuals were used as damage indicators. Finally, bar control chart structure damage identification. The numerical simulation of the platform structure and the test results of the shaking table model verify the effectiveness of the method.