超高层建筑风荷载及风致响应的同步反演方法研究被引量：3

A simultaneously inverse method for wind load and wind-induced responses of super-tall buildings

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摘要基于离散型卡尔曼滤波及泰勒级数展开提出了一种超高层建筑风荷载的反演算法。该方法利用有限测量的结构响应能够实现结构未知风荷载及风致响应的同步实时反演。通过典型超高层建筑的风洞试验和现场实测结果验证了该方法的准确性。首先利用风洞试验得到的位移、速度、加速度响应反向识别了该超高结构的风荷载,系统地评估了结构模态参数误差、振动模态数、噪声水平等因素对风荷载反演的影响,发现新的反演算法对结构模态参数误差和测量噪声不敏感,考虑结构前四阶振动模态则可获得准确的荷载识别结果。并且基于台风期间实测位移响应识别了该超高结构的风荷载,实测位移反演的风荷载与风洞试验结果基本一致。研究结果表明,本文提出的反演方法是一种识别超高结构风荷载的有效工具。 An inverse estimation algorithm is developed to effectively identify wind loads on super-tall buildings using limited measured structural responses.This algorithm is based on the discrete time Kalman filter and Taylor series expansion.It allows simultaneously determining unknown wind loads and wind-induced responses within one sampling time.The accuracy of the proposed inverse method is examined through the wind tunnel testing of a typical super-tall building.Wind loads acting on the super-tall building are estimated based on displacement,velocity and acceleration responses determined from wind tunnel testing,respectively.Effects of crucial factors such as errors of structural modal parameters,number of vibration modes and noise levels in the measurements on the identification accuracy are evaluated through detailed parametric studies.The verification and validation studies show that the efficiency of the developed method is not sensitive to errors in structural modal parameters and measurement noise.The wind loading estimation for the super-tall building can be accurately achieved by the first four vibration modes.Finally,the wind loads on the super-tall building are estimated based on field measured displacements during a typhoon.The wind loads predicted by the inverse method from the field measured responses are very close to those obtained from the wind tunnel test.This study shows that the proposed method is an effective tool for predicting the wind loads on super-tall buildings.

作者郅伦海胡峰余攀 Zhi Lunhai;Hu Feng;Yu Pan(School of Civil and Hydraulic Engineering,Hefei University of Technology,230009,Hefei,China;School of Civil Enginecring,Chongqing University,400044,Chongqing,China)

机构地区合肥工业大学土木与水利工程学院重庆大学土木工程学院

出处《应用力学学报》 CAS CSCD 北大核心 2020年第6期2309-2316,I0001,共9页 Chinese Journal of Applied Mechanics

基金国家自然科学基金(51978230) 中央高校基本科研业务费专项资金资助(PA2019GDZC0094)。

关键词风荷载识别超高层建筑卡尔曼滤波结构响应风洞试验现场实测 wind load identification super-tall building Kalman filter structural response wind tunnel testing field measurement

分类号 TU973.2 [建筑科学—结构工程]