环境变化下基于AR模型系数和协整的海洋平台结构损伤识别

发布时间：2018-04-29 17:54

  本文选题：损伤识别 + 海洋平台　； 参考：《工程力学》2017年02期

【摘要】：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。
[Abstract]:The variation of damage characteristic parameters caused by structural damage is often concealed by the changes of damage characteristic parameters caused by environmental factors (temperature and mass), which leads to the failure of vibro-based damage identification methods. In this paper, the AR model coefficients in time series and cointegration in econometrics are used to study the damage identification of offshore platform structures under the influence of environmental factors (temperature and mass). First, the AR model is used to fit the measured acceleration response signal, and the first order AR coefficient is chosen as the cointegration variable. Then the cointegration variables of different nodes are cointegrated, and the cointegration residuals are taken as the damage index. Finally, the damage identification of the structure is carried out by X-bar control chart. The effectiveness of the method is verified by numerical simulation of offshore platform structure and shaking table model test.
【作者单位】： 青岛理工大学土木工程学院;山东省蓝色经济区工程建设与安全协同创新中心;
【基金】：国家自然科学基金项目(51179082) 山东省蓝色经济区工程建设与安全协同创新中心项目
【分类号】：TU317
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本文编号：1820965