Application of Kalman Filter Method Based on Excavation Depth and Time Factor in the Building Deformation Forecast

Author

Fumin Lu ; Tingyao Jiang

Author_Institution

Key Lab. of Geol. Hazards on Three Gorges Reservoir Area of Minist. of Educ., Three Gorges Univ., Yichang, China

fYear

2015

fDate

24-26 April 2015

Firstpage

629

Lastpage

631

Abstract

The the deformation of the building is regarded as the function of the time and excavation depth of the foundation ditch in the paper, and Taylor series is used to erect the functional relationship of the building deformation to the time and excavation depth, the remainder term of Taylor series and the variation of coefficients of second power of the variation of the time and second power of the variation of the temperature are regarded as dynamic noises whose mathematical expectation are 0 to erect Kaman filter model and predict the deformation of the building. An example of calculation shows that the fitted effect and forecast effect of the model are better.

Keywords

Kalman filters; buildings (structures); deformation; foundations; structural engineering computing; Kalman filter method; Taylor series remainder term; building deformation forecast; coefficient variation; dynamic noises; excavation depth; fitted effect; forecast effect; foundation ditch; functional relationship; mathematical expectation; time factor; Buildings; Deformable models; Kalman filters; Mathematical model; Monitoring; Noise; Predictive models; Kalman filter; building; deformation; excavation depth; forecast;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4673-6849-0

Type

conf

DOI

10.1109/ICISCE.2015.145

Filename

7120685