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A numerical modelling technique for geosynthetics validated on a cavity model test

机译：在空腔模型测试中验证的土工合成数值建模技术

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摘要

Numerical modelling approaches can aid in designing geotechnical constructions involving geosynthetics. However, the reliability of numerical results depends on how the model is developed, the constitutive model, and the set of parameters used. By comparing the numerical results with experiment, the present work verifies a numerical modelling technique developed to model multilayered geosynthetic lining systems for landfills. The numerical modelling technique involves strain softening at interfaces and allows the axial stiffness of the geosynthetics to evolve as a function of strain. This work focuses on a two-dimensional finite-difference model, which is used to simulate three types of experimental tests: conventional uniaxial tensile tests, direct shear tests, and a large-scale test that was used to assess the overall mechanical behaviour of a reinforced geosynthetic system that spanned over a cavity. This reinforced geosynthetic system consisted of a 50 kNim polyvinyl alcohol geogrid reinforcement embedded in a layer of sand, a geosynthetic clay liner, a high-density polyethylene geomembrane, and a non-woven needle-punched geotextile. The uniaxial tensile tests, direct shear tests, and the large-scale test were numerically modelled and the numerical results were compared with experimental results. The results of the numerical modelling technique presented very closely match the results of the three experimental tests, which indicates that the numerical model correctly predicted the measured data. (C) 2017 Elsevier Ltd. All rights reserved.
机译：数值建模方法可以帮助设计涉及土工合成材料的岩土结构。但是，数值结果的可靠性取决于模型的开发方式，本构模型以及所使用的参数集。通过将数值结果与实验结果进行比较，本工作验证了一种数值建模技术，该技术可用于模拟垃圾填埋场的多层土工合成材料衬砌系统。数值建模技术涉及界面处的应变软化，并允许土工合成材料的轴向刚度随应变而变化。这项工作着眼于二维有限差分模型，该模型可用于模拟三种类型的实验测试：常规单轴拉伸测试，直接剪切测试以及用于评估材料整体力学性能的大规模测试。跨腔的增强型土工合成材料系统。这种增强的土工合成材料系统包括嵌入沙子层中的50 kNim聚乙烯醇土工格栅增强材料，土工合成粘土衬里，高密度聚乙烯土工膜和无纺针刺土工织物。数值模拟了单轴拉伸试验，直接剪切试验和大规模试验，并将数值结果与实验结果进行了比较。提出的数值建模技术的结果与三个实验测试的结果非常接近，这表明数值模型正确地预测了测量数据。 （C）2017 Elsevier Ltd.保留所有权利。

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