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基于离散型卡尔曼滤波方程及遗忘因子递推最小二乘法提出了一种新的高层建筑脉动风荷载反演方法。该方法可以利用有限测试楼层的风致响应识别结构未知风荷载及未测风致响应,解决了高层建筑测点不足的问题。根据典型高层建筑风洞试验结果,评估了该方法准确性及适用性,分析了结构模态参数误差和测量噪声对反演结果的影响,实现了高层建筑未知风荷载及响应的实时连续测量,为高层建筑的抗风设计及健康监测提供了新的研究手段。
Based on the discrete Kalman filter equation and the forgetting factor recursive least square method, a new method for the inversion of fluctuating wind load in tall buildings is proposed. The method can use the wind-induced response of the limited test floor to identify the unknown wind load and the unmeasured wind response, which solves the problem of lack of measuring points in the high-rise building. According to the typical wind tunnel test results of high-rise buildings, the accuracy and applicability of the proposed method are evaluated. The influence of structural modal parameter error and measurement noise on the inversion results is analyzed. Real-time continuous measurement of unknown wind load and response of high- It provides a new research method for wind-resistant design and health monitoring of tall buildings.