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Stress paths in deep excavations under undrained conditions and its influence on deformation analysis

机译:不排水条件下深基坑的应力路径及其对变形分析的影响

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The objective of this study is to examine the stress state of soils during deep excavation, in relation to the determination of appropriate soil parameters for deformation analysis of a deep excavation case using the finite element method. Two well documented case histories of a deep excavation were utilized for the validation of the analysis procedure and the selection of soil stiffness parameters. Results from the Hardening Soil model showed that the out-of-plane stress has significance influences to the direction of soil effective stress path. In addition, most of the soil inside and outside excavation zone is in the elastic behavior. Even though the effective stress path of soils adjacent to the diaphragm wall have undergone yield, but the characteristics of those soils are still dominated by the elastic behavior. Hence, the unloading/reloading parameters are predominant in a deformation analysis of an excavation case. When the undrained shear strength and unloading/reloading modulus were precisely specified, even the Mohr-Coulomb model could obtain good prediction of the wall deflections. Moreover, a hypothetical case was employed to investigate the performance of the computed ground surface settlements. The result showed that the computed ground settlement from Mohr-Coulomb model was close to the result from the Hardening Soil Small model if the layer of soft soil is deep enough and a layer of small strain stiffness zone is introduced at bottom of the model geometry.(C) 2017 Elsevier Ltd. All rights reserved.
机译:这项研究的目的是检查深基坑开挖过程中土体的应力状态,并确定适用于有限元法进行深基坑开挖变形分析的土性参数。深入挖掘的两个有据可查的案例历史被用于验证分析程序和选择土壤刚度参数。硬化土模型的结果表明,面外应力对土壤有效应力路径的方向有重要影响。此外,开挖区内外的大部分土壤都处于弹性状态。尽管邻近隔板壁的土壤的有效应力路径已经屈服,但是这些土壤的特性仍然受弹性行为支配。因此,在开挖工况的变形分析中,卸载/再加载参数是主要的。当精确确定不排水的抗剪强度和卸载/再加载模量时,即使是Mohr-Coulomb模型也可以很好地预测壁的挠度。此外,采用了一个假设案例来研究计算出的地面沉降的性能。结果表明,如果软土层足够深,并且在模型几何体的底部引入了一个小的应变刚度区,则根据Mohr-Coulomb模型计算出的地面沉降量将接近于Hardening Soil Small模型的计算结果。 (C)2017 Elsevier Ltd.保留所有权利。

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