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Centrifuge Modelling and Analysis of Ground Reaction of High-speed Railway Embankments over Medium Compressibility Ground

机译:中等压缩地面上高速铁路路堤的地面反应离心机建模与分析

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摘要

The objective of this study is to verify the feasibility of using centrifugal model tests to characterize the ground reaction response of a high-speed railway embankment to predict its ground settlement. To do so, a series of Centrifugal Model Tests (CMTs) of the embankment were performed to investigate the variation of ground reaction and corresponding derived modulus at different embankment ratios. The ground reaction determined from the CMTs was compared with those obtained from corresponding full-scale field tests of instrumented embankment. The results show that the ground reaction at the embankment centreline gradually approaches the embankment weight (gamma H) with increasing embankment ratio. Considering the embankment filling process with different embankment ratios, it seems inappropriate to employ the value of gamma H as the ground reaction without any correction in settlement prediction. Finally, the predictive capability of the proposed approach for embankment settlement estimation was assessed against the corresponding field measurements and those determined based on the calculation methods suggested in the current design standard in China. The results show that the proposed simple approach satisfactorily estimates the ground settlement of HSR embankments and its deviation of predicted settlements is below 11.9% compared with the data obtained from the field full-scale tests. However, the deviation of the result calculated by the current recommend design standard is 17.7%-148.3%.
机译:这项研究的目的是验证使用离心模型试验表征高速铁路路堤的地面反应响应以预测其地面沉降的可行性。为此,进行了一系列路堤离心模型试验(CMT),以研究在不同路堤比率下地面反应和相应的导出模量的变化。将由CMT确定的地面反应与从相应的仪表化路堤全面现场测试获得的地面反应进行了比较。结果表明,路堤中心线处的地面反应随着路堤比率的增加而逐渐接近路堤重量(γH)。考虑到不同路堤比率的路堤填充过程,在沉降预测中不进行任何校正的情况下,将伽马H值用作地面反应似乎是不合适的。最后,根据相应的现场测量结果和根据中国现行设计标准中建议的计算方法确定的方法,评估了所提方法对路堤沉降估算的预测能力。结果表明,与从实地全面试验获得的数据相比,该简单方法可以令人满意地估算高铁路堤的地面沉降,其预测沉降的偏差低于11.9%。但是,根据当前推荐的设计标准计算得出的结果偏差为17.7%-148.3%。

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