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Model for predicting the variation of shear stress in unsaturated soils during strain-softening
Canadian Geotechnical Journal ( IF 3.6 ) Pub Date : 2020-11-25 , DOI: 10.1139/cgj-2020-0312
Xiuhan Yang 1, 1 , Sai K. Vanapalli 1, 1
Affiliation  

Canadian Geotechnical Journal, Ahead of Print.
Several of the geotechnical structures constructed with unsaturated soils undergo a large deformation prior to reaching failure conditions (e.g., progressive failure of a soil slope). During this process, the shear stress in soils typically increases initially and then reduces with an increase in the shear strain. The prediction of the stress–strain relationship is critical for reasonable interpretation of the mechanical behavior of those geo-structures that undergo large deformation. This paper introduces a model based on the disturbed state concept (DSC) to predict the variation of shear stress in unsaturated soils during the strain-softening process under consolidated drained triaxial compression condition. In this model, the apparent stress–strain relationship is formulated as a weighted average of a hyperbolic hardening response extending the pre-peak state stress–strain curve and a linear response extending the critical state stress–strain curve with an assumed disturbance function as the weight. The prediction procedure is described in detail and the proposed model is validated using several sets of published data on unsaturated soils varying from coarse- to fine-grained soils. Finally, a comprehensive error analysis is undertaken based on an index of agreement approach.


中文翻译:

应变软化过程中非饱和土剪应力变化预测模型

加拿大岩土工程杂志,提前印刷。
一些用非饱和土建造的岩土结构在达到破坏条件(例如,土坡的渐进破坏)之前会发生大变形。在此过程中,土壤中的剪切应力通常最初增加,然后随着剪切应变的增加而减小。应力-应变关系的预测对于合理解释那些经历大变形的地质结构的力学行为至关重要。本文介绍了一种基于扰动状态概念(DSC)的模型,用于预测固结排水三轴压缩条件下非饱和土在应变软化过程中剪应力的变化。在这个模型中,表观应力-应变关系被表述为扩展峰值前状态应力-应变曲线的双曲硬化响应和扩展临界状态应力-应变曲线的线性响应的加权平均值,假设扰动函数为权重。详细描述了预测程序,并使用几组公开的非饱和土壤数据验证了建议的模型,这些数据从粗粒土壤到细粒土壤不等。最后,基于一致性指标方法进行了全面的误差分析。详细描述了预测程序,并使用几组公开的非饱和土壤数据验证了建议的模型,这些数据从粗粒土壤到细粒土壤不等。最后,基于一致性指标方法进行了全面的误差分析。详细描述了预测程序,并使用几组公开的非饱和土壤数据验证了建议的模型,这些数据从粗粒土壤到细粒土壤不等。最后,基于一致性指标方法进行了全面的误差分析。
更新日期:2020-11-25
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