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Physical modelling and PIV analyses of an underground tunnel heading

机译:地下隧道掘进的物理建模和PIV分析

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Predicting surface and sub-surface movement upon tunnel heading failure is essential for safetyrnand contingency planning. This paper presents the results of a 2D physical modelling experiment of tunnelrnheading failure in cohesionless soil. By modelling six overburden to diameter ratios, the research seeks torninvestigate the behaviour, magnitude and failure mechanism of a tunnel heading. The physical model usesrndisplacement control to simulate tunnel heading movement. The use of transparent faced modelling containersrnallows video capture of the soil movement as the tunnel heading is displaced. From the captured video, ParticlernImage Velocimetry (PIV) was then utilised to analyse soil movement. PIV examines and monitors groups ofrnpixels based on colour variability, thus small amounts of coloured sand were added to ensure accurate tracking.rnThis then allowed close monitoring of the soil movement, which allows verification of settlement results andrnexamination of failure behaviour. It is concluded that the current experimental procedures produce qualitativernresults that can be used to compare with results obtained from numerical experiments. FLAC modelling withrnFISH programing is recommended for this purpose in the future.
机译:预测隧道掘进失败时的地面和地下运动对于安全和应急计划至关重要。本文介绍了无粘性土中隧道掘进破坏的二维物理模拟实验结果。通过模拟六个覆盖层与直径的比率,该研究试图对隧道掘进的行为,幅度和破坏机理进行调查。物理模型使用位移控制来模拟隧道掘进运动。使用透明的表面建模容器可以在隧道掘进位移时对土壤运动进行视频捕获。从捕获的视频中,然后使用粒子图像测速(PIV)分析土壤运动。 PIV根据颜色可变性检查并监视像素组,因此添加了少量有色沙以确保精确跟踪。然后允许对土壤运动进行严密监视,从而可以验证沉降结果并检查破坏行为。结论是,当前的实验程序产生的定性结果可用于与数值实验的结果进行比较。将来,建议为此使用带有FISH编程的FLAC建模。

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