DocumentCode :
711915
Title :
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
Link To Document :
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