摘要
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。
A new wind load inverse method of tall buildings based on discrete kalman filter equations and recursive least-squares algorithm by using forgetting factor is developed. The algorithm allows estimating the unknown wind forces and responses of a high-rise structure based on limited structural responses. The accuracy and reliability of the inverse method are verified based on wind tunnel testing results of a tall building. Some key factors such as errors of structural modal parameters and noise levels in the measurements on the wind load identifications are investigated in detail. The findings of this study are expected to be of considerable interest and practical use to professionals and researchers involved in the wind-resistant design and structural health monitoring of tall buildings.
出处
《武汉理工大学学报》
CAS
北大核心
2016年第2期57-63,81,共8页
Journal of Wuhan University of Technology
基金
国家自然科学基金(51208404
51478371)
霍英东教育基金会资助项目(141074)
武汉理工大学自主创新研究基金(155206004)
关键词
高层建筑
风荷载
风洞试验
卡尔曼滤波
最小二乘法
tall building
wind load
wind tunnel test
kalman filter
least-square algorithm
