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首页> 外文期刊>Materials Research Innovations >Geotechnical parameter identification of no-tension elastic–plastic model using extended Kalman filter
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Geotechnical parameter identification of no-tension elastic–plastic model using extended Kalman filter

机译:扩展卡尔曼滤波在无张力弹塑性模型岩土参数识别中的应用

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摘要

In this study, a probabilistic procedure is presented for determination of the mechanicalnparameters of rock mass around a tunnel accounting for measurement uncertainties. Thenformulation of the inverse problem allows the incorporation of both the field measurements andnthe prior information. In the method, a non-linear finite element (FE) method for analysing thendirect problems of tunnelling in a jointed rock mass with no-tension elastic–plastic behaviour isncoupled with the extended Kalman filter (EKF) to modify the geotechnical parameters in anstatistical context. The validity of the back-analysis system was demonstrated through a syntheticnexample of a deep tunnel in a yielding rock mass. The results show the fast convergence and thengreat potential of the proposed procedure.
机译:在这项研究中,提出了一种概率程序,用于确定考虑了测量不确定性的隧道周围岩体的力学参数。然后,反问题的公式化允许将现场测量值和先验信息结合在一起。在该方法中,使用非线性有限元(FE)方法分析无拉伸弹塑性行为的节理岩体中的隧道直接问题,并与扩展卡尔曼滤波器(EKF)耦合以在统计情况下修改岩土参数。通过屈服岩体中深隧道的综合实例证明了反分析系统的有效性。结果表明该方法具有快速收敛性和巨大潜力。

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