基于无迹卡尔曼滤波的高层建筑风荷载反演
Wind load estimation of tall building by an unscented Kalman filtering based inverse method
Received:November 30, 2022  Revised:March 27, 2023
DOI:10.7520/1001-4888-22-305
中文关键词:  高层建筑  风荷载  风致响应  风洞试验  无迹卡尔曼滤波  反演分析
英文关键词:tall building  wind load  wind-inducedresponse  wind tunnel test  unscented Kalman filter  inverse analysis
基金项目:国家自然科学基金项目(51978230,52278495);安徽省自然科学基金杰出青年基金资助项目(2108085J29)
Author NameAffiliation
ZHANG Hui School of Civil and Hydraulic Engineering, Hefei University of Technology, Hefei 230009, Anhui, China 
ZHI Lunhai* School of Civil and Hydraulic Engineering, Hefei University of Technology, Hefei 230009, Anhui, China 
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中文摘要:
      基于无迹卡尔曼滤波提出了一种高层建筑风荷载的反演算法,该方法利用有限测量楼层的风致响应数据,实时识别结构的未知风荷载和风致响应。通过典型高层建筑的风洞试验进行风荷载反演实例分析,验证了该方法的准确性和适用性,评估了模态参数误差、测量噪声水平对风荷载反演的影响。研究结果表明,文中提出的算法对模态参数误差不敏感,在一定噪声水平下反演的结果基本能够满足实际工程需要,该算法为实时评估高层建筑的风荷载和风致响应提供了有效的工具。
英文摘要:
      An inverse estimation algorithm is developed to effectively identify wind loads on tall buildings using limited measured structural responses.This algorithm is based on the unscented Kalman filter and allows determining unknown wind loads and wind-induced responses within one sampling time.The accuracy and applicability of the proposed method are verified by wind load inversion example analysis through wind tunnel tests of typical high-rise buildings.The effects of crucial factors such as errors of structural modalparameters and noise levelsin the measurements on the identification accuracy are evaluated through detailed parametric studies.The effect of the errors of structural modalparameters on the estimation of wind loads is found to be small.The accuracy of the estimated wind loads at a certain noise level is acceptable in engineering practices.The results show that the proposed algorithm provide an effective tool for identifying the wind load and wind-induced response of tall buildings in real time.
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