Prediction of the shear deformation of a sandy model slope generated by rainfall based on the monitoring of the shear strain and the pore pressure in the slope

Prediction of the shear deformation of a sandy model slope generated by rainfall based on the monitoring of the shear strain and the pore pressure in the slope
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DOI:
10.1016/j.enggeo.2017.05.003
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发表时间:
2017-06-22
影响因子:
7.4
通讯作者:
Sasahara, Katsuo
Sasahara, Katsuo
中科院分区:
地球科学1区
文献类型:
--
作者:
Sasahara, Katsuo

文献摘要

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预测降雨入渗引起的边坡剪切变形是预测降雨诱发滑坡发生时间的重要依据。通过对人工降雨条件下砂质模型边坡变形及土水状况的监测,建立降雨入渗作用下砂质模型边坡剪切变形的预测方法。基于实测的剪切应变与孔隙压力的双曲关系,提出了一种预测剪切应变与孔隙压力关系的方法。在对剪切应变-孔压关系和时间-孔压关系进行回归分析的基础上,预测了边坡破坏前的剪切应变随时间的变化。用一段时间后的数据预测剪切应变可以更好地模拟实测值。较深层的预测剪切应变与实测值拟合较好,较浅层的预测剪切应变拟合较好。提出了一种时间-地表位移关系的预测方法。预测过程与预测剪切应变相同,只是在预测过程中,地表位移和地下水位分别代替了剪切应变和孔隙压力。利用实验初期的数据进行预测,可以很好地模拟地表位移的时间变化。所提出的地表位移预测方法的模拟结果优于剪切应变预测方法。
It is important to predict shear deformation of a slope due to rainfall infiltration as the basis of the time prediction of an onset of a rainfall-induced landslide. Monitoring of deformations and soil-water conditions in a sandy model slope under artificial rainfall was performed to establish the prediction method for shear deformation of the slope due to rainfall infiltration. A prediction method for the relationship between shear strain and pore pressure was proposed based on the hyperbolic relationship between shear strain and pore pressure measured in the slope. Shear strain is predicted as a function of time before the failure of the slope based on the regression analyses of the shear strain pore pressure relationship and the time- pore pressure relationship. Prediction of the shear strain using data until a later time could better simulate the measured values. The predicted shear strain in the deeper layer fit the measured values better than that in the shallower layer. A prediction method for the time - surface displacement relationship was also proposed. The procedure for the prediction is the same as that for the prediction of the shear strain, except the surface displacement and the groundwater level replace the shear strain and the pore pressure, respectively, in the procedure. The prediction with data even at an early stage of the experiment could simulate the time variation of the surface displacement well. The proposed prediction method for the surface displacement produced better simulation results than the prediction method for the shear strain.