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Real-Time Prediction of Seepage Field during Tunnel Excavation
Selecting accurate hydraulic conductivity is critical to calculating correctly seepage field. Because of geotechnical hydraulic conductivity with spatial randomness and its errors in measurement and computation, the extended Kalman filter (EKF) is proposed to its back analysis. In conjunction with the finite element method (FEM) of seepage, details of the EKF are introduced in this paper. With FORTRAN programs, the hydraulic conductivity is revised according to the real-time monitoring data during tunnel excavation, and illustrates the EKF merits of considerable convergence and tolerable accuracy.
Real-Time Prediction of Seepage Field during Tunnel Excavation
Selecting accurate hydraulic conductivity is critical to calculating correctly seepage field. Because of geotechnical hydraulic conductivity with spatial randomness and its errors in measurement and computation, the extended Kalman filter (EKF) is proposed to its back analysis. In conjunction with the finite element method (FEM) of seepage, details of the EKF are introduced in this paper. With FORTRAN programs, the hydraulic conductivity is revised according to the real-time monitoring data during tunnel excavation, and illustrates the EKF merits of considerable convergence and tolerable accuracy.
Real-Time Prediction of Seepage Field during Tunnel Excavation
Applied Mechanics and Materials ; 274 ; 11-16
2013-01-11
6 pages
Article (Journal)
Electronic Resource
English
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