第一部門：物理数学力学問題 （A）

[S01A-05] Parameter estimation for earth-fill dam model by using ensemble Kalman filter

*Yuxiang Ren¹, Shinichi NISHIMURA¹, Toshifumi SHIBATA¹, Takayuki SHUKU¹ (1. Graduate school of environmental and life science, okayama university)

Keywords:Data assimilation , Inverse problem, Ensemble Kalman filter

Data assimilation like ensemble Kalman filter (EnKF) can be used to obtain an optimal estimation of a system state through the observation of it. EnKF is supposed to perform well in nonlinear and high-dimensional system. For a system of earth-fill dam, EnKF is applied by using first arrival of elastic wave, which relates to its velocity as the observation and numerical simulation. Numerical experiments were made to verify the effectiveness of this method.