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Evaluating the Ability of Swell Prediction Models to Predict the Swell Behavior of Excessively High Plastic Soils

机译:评估膨胀预测模型预测过高塑料土壤膨胀行为的能力

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Lightly loaded structures underneath expansive soils encounter severe damage due to the swell/shrink nature of expansive soils resulting from moisture variations. Billions of dollars are spent every year to repair the damages caused by these soils in the U.S. and worldwide. Designing structures to accommodate the swelling strains is a major challenge as predicting the swelling potential of these soils accurately is not easy. A wide variety of swell prediction models have been introduced by various researchers to predict the behavior of these often-problematic expansive soils. These models include various properties of soils such as, plasticity characteristics, compaction conditions, consolidation characteristics, moisture content variations, matric suction, and clay mineralogical characteristics. However, these models are generally developed with typical moderate to high plastic soils in mind whose plasticity indices range from 25 to 45. Their applicability to soils that have liquid limits in the order of 200% is not well understood. In this paper, the ability of these models to predict the behavior of excessively high plastic soils with plasticity indices ranging from 45 to 85 were evaluated. For this purpose, four existing analytical prediction models that use combinations of above-mentioned properties were selected and used to predict the one-dimensional and three-dimensional swelling strains on three high swelling soils. These predictions were verified by conducting one-dimensional and three-dimensional swell tests on the three soil types. The swell tests were conducted at three different initial moisture contents to observe how well the models could predict different levels of moisture absorption. The ability of each of the four selected methods in predicting both 1D and 3D swell strains was discussed and their relative merits and demerits are highlighted. In addition, finite element modeling was performed to simulate one-dimensional and three-dimensional swell tests by using material models that use volumetric and suction changes with moisture contents to simulate expansive soil behavior within the finite element model. The results indicated that while the analytical prediction models gave reasonable results the finite element analysis predicted results were closest to the laboratory measure soils in case both 1D and 3D analyses. Among other analytical models the ones that incorporated mineralogical and suction data exhibited better results.
机译:由于水分变化导致的膨胀土的膨胀性/收缩性,膨胀土下面的膨胀土的膨胀性造成严重损坏的膨胀性造成严重损坏。每年花费数十亿美元,以修复美国和全球这些土壤造成的损害。设计以适应膨胀菌株的结构是一种重大挑战,以准确预测这些土壤的膨胀潜力并不容易。各种研究人员介绍了各种各样的膨胀预测模型,以预测这些经常有问题的膨胀土的行为。这些型号包括各种土壤性质,如塑性特性,压实条件,固结特性,水分含量变化,湿润,吸附和粘土矿物学特征。然而,这些模型通常具有典型的中度至高塑料土壤,其可塑性指数为25至45次。它们对液体限制的土壤的适用性尚未得到很好的理解。在本文中,评估这些模型预测过高塑性土壤的行为的能力,塑性索引范围为45至85。为此目的,选择使用上述性质组合的四种现有的分析预测模型,并用于预测三个高溶胀土壤上的一维和三维肿胀菌株。这些预测是通过开展对三类土壤的一维和三维膨胀试验验证。膨胀试验在三种不同的初始水分含量下进行,观察模型可以预测不同水平的吸湿水平。讨论了预测1D和3D膨胀菌株的四种所选方法中的每种选择的能力,并且突出了它们的相对优点和缺点。另外,通过使用使用体积和抽吸变化的材料模型来进行有限元建模以模拟一维和三维膨胀试验,该材料模型与水分含量模拟有限元模型内的膨胀土行为。结果表明,虽然分析预测模型得到合理的结果,但在1D和3D分析的情况下,有限元分析预测结果最接近实验室测量土壤。在其他分析模型中,掺入矿物学和抽吸数据的那些表现出更好的结果。

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