2002
DOI: 10.1016/s0886-7798(02)00066-4
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Back analysis of time-dependent behaviour of a test gallery in claystone

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Cited by 81 publications
(24 citation statements)
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“…The monitoring data can simply provide information about the tunnelling conditions [3], or may be used in the back analyses to model the soil behaviour and to design the tunnel lining by comparing measurements to the computed behaviour [4][5][6][7]. Alternatively, Vardakos and Gutierrez [8] process the convergence measurements with a statistical framework based on the Markov estimator to calibrate the analytical or numerical models.…”
Section: Importance Of Accuracy and Precision Of Convergence Measuremmentioning
confidence: 99%
“…The monitoring data can simply provide information about the tunnelling conditions [3], or may be used in the back analyses to model the soil behaviour and to design the tunnel lining by comparing measurements to the computed behaviour [4][5][6][7]. Alternatively, Vardakos and Gutierrez [8] process the convergence measurements with a statistical framework based on the Markov estimator to calibrate the analytical or numerical models.…”
Section: Importance Of Accuracy and Precision Of Convergence Measuremmentioning
confidence: 99%
“…References [5,6], or using viscoelasticity, e.g. Reference [7]. A primary analytical approach is attempted in References [8,9].…”
Section: State Of the Artmentioning
confidence: 99%
“…They may also need complex calibration procedures (Guan et al, 2009) that, in addition, are based on convergence data that is only available after tunnel construction (Zhifa et al, 2001;Boidy et al, 2002). This aspect, in conjunction with the complexity of the models involved, greatly reduces the a-priori capabilities for squeezing prediction of such methods and, in addition, it makes their application difficult prior to tunnel construction and reducing their usefulness during the planning stage.…”
Section: Introductionmentioning
confidence: 99%