Super-high-rise Building Structure Monitoring And Analysis Based On Kalman Filter

The rapid development of society and economy has opened up the upsurge in the construction of super high-rise buildings.With the constant renovation of the building height,the difficulty of construction has become higher and higher,and the safety and stability of the building have been continuously affected.As an important factor in the safety and stability of super-tall buildings,the control and monitoring of horizontal displacement of structures has become a very important research work.During the construction of super high-rise buildings,the horizontal displacement of the structure will increase as the building height increases,for some asymmetrical high-rise buildings,the horizontal displacement increases significantly after the area of core barrel section is reduced.In order to ensure that the horizontal displacement value of the building is in a safe range,It is necessary to carry out all-round monitoring of the horizontal displacement of the floor during the construction of the structure,Furthermore,a long-term monitoring should be carried out after the structure is capped to ensure the safety of the structure during operation.At present,there are many data processing methods of deformation monitoring,and more common are multiple linear regression,time series analysis,gray system model analysis,neural network analysis,wavelet analysis,Kalman filtering analysis,the latter three methods are the most widely used today.At first,this article describes the horizontal displacement monitoring process of a super high-rise building in Guangxi.Based on this,a construction simulation analysis of the horizontal displacement of the super high-rise structure was carried out,and the theoretical deformation trend of the horizontal displacement of the structure was obtained.The theoretical and measured values of the horizontal displacement of the structure were compared and analyzed.On the one hand,they can proofread each other,on the other hand,it can also determine whether the monitoring data is valid.In the following,the Kalman filtering method and theory are introduced in detail.The selection and estimation of the initialparameters of the Kalman filtering method are described in detail,and two dynamic monitoring system models are introduced in detail.On this basis,the principles of three kinds of adaptive Kalman filtering methods,including maximum posterior estimation,variance compensation,and variance component estimation,are further elaborated,and relevant programs are are further elaborated,and relevant programs are written.Finally,the monitoring data of the 20-layer measuring points of the super high-rise structure are analyzed by wavelet analysis,Kalman filtering and adaptive Kalman filtering.Kalman filtering and its related adaptive algorithms were used to predict the last period of measurement data to compare their short-term prediction results.In addition,based on the horizontal displacement monitoring data of super high-rise structures,this paper also compares and analyzes the filtering effect,prediction effect and application scope of the two dynamic monitoring system models.After the above series of analysis and research,the following conclusions can be obtained:1、This paper proposes the method of using Kalman filter principle to monitor the horizontal displacement of super high-rise structures for the first time,draws the flow chart of the deformation monitoring analysis of Kalman filter,and compiles the relevant calculation and analysis procedures.On that basis,aTaking the actual project of a super high-rise building under construction in Nanning as an example,the relevant method was applied for displacement monitoring of super high-rise structures for the first time..2、Applying the Kalman filtering method to deformation monitoring of super high-rise building structures can not only effectively remove the noise and make the curve appear more obvious,but also can predict the deformation trend to a certain extent,among which Adaptive Calman filter with variance compensation and Adaptive Calman filter with variance component estimation method has good filtering effect and high short-term prediction accuracy.The vAdaptive Calman filter with variance component estimation method has the highest accuracy of prediction value,it is the best filtering method suitable for this super-high-rise structure,the predictive value has a high reference value for the judgment of the future deformation trend of the structure.3、The Kalman filter method is a general method applied to structural deformation monitoring.No matter whether the displacement of measurement point is fast or slow,the adaptive Calman filter with variance component estimation can achieve ideal filtering and forecasting effect.For the point displacement changing rapidly,selecting the a-b-g model in the monitoring system model can also achieve an ideal filtering and forecasting effect.4、The monitoring method used in the deformation monitoring of the super high-rise building has certain reference significance for the deformation monitoring of super high-rise structures.Meanwhile,the comparison between the theoretical and measured values shows that the monitoring data is valid,and it has a high reference value for the judgment of the deformation trend of this structure by the data of deformation Monitoring.5、Through simulation and analysis of the horizontal displacement of a super high-rise building structure under construction in Nanning,it can be seen that the floor displacement of the super high-rise building structure is big in the middle and upper part.,the upper and lower parts gradually decrease,and the maximum value displacement between layers appears in 75 layers,the structural self-weight is the biggest factor that affects the horizontal displacement of the structure,the creep of the concrete is also a factor that has a large influence on the horizontal displacement of the structure.Therefore,it is necessary to monitor the structure for long time after the structure is capped,and we should focus on the change of horizontal displacement in the X direction of this super high-rise structure.