Compound Inversion Of Wind Load And Structural Parameters Of High-rise Buildings

In recent years,the height of high-rise buildings is higher and higher,the stiffness is more and more flexible,and it is very sensitive to the effect of wind load.Wind load is usually the controlling factor of high-rise buildings,so the influence of wind load should be considered in the design of high-rise building safety and stability.Therefore,it is very important to study the wind load of high-rise buildings,the dynamic response of wind-induced structures.The research on the inverse problem of synchronous identification of wind load and structural parameters is of great significance for the further understanding of wind load and structural response analysis,as well as for the safety monitoring of the structure.In this paper,the research status of wind load composite inversion is reviewed,and the vertical correlation of structural physical parameters and wind load is studied by using the federal extended Kalman filter(FEKF)considering the spatial correlation.The fluctuating wind speed along the floor height is simulated by harmonic synthesis method,and the rationality of the simulated fluctuating wind speed is verified by power spectrum.According to the assumption of spatial correlation of fluctuating wind,the time history correlation of simulated wind load is analyzed,and the wind load of adjacent layers is regarded as the same load,which provides the basis for reducing the unknown load.In the time domain,the dynamic responses of different layers are obtained and compared with those of real cases.The results show that when the correlation coefficient of wind load in the adjacent layer is greater than the minimum value,which can be regarded as the complete correlation,it can be regarded as the same load.At this time,it has little effect on the dynamic response analysis and inversion accuracy of the structure.On the contrary,it is easy to distort.Combined with the characteristics of FEKF with the fault detection and troubleshooting of measurement signal,the following analysis is carried out for the inversion process of wind load of engineering examples:1)the impact of noise on the identification results;2)the impact of different fluctuating wind correlation assumptions on the inversion results;3)the impact of measurement signal failure on the identification results.The results show that FEKF has good robustness and can diagnose the fault signal in time,so that the fault signal has little influence on the inversion accuracy.Finally,by comparing the real dynamic response with the simulated wind load,the reasonable interval of correlation selection is verified.