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Permanent Deformation Prediction Model of Unbound Granular Materials for Flexible Pavement Design

机译:柔性路面设计中未结合粒料的永久变形预测模型

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Constitutive prediction models in flexible pavement are used to predict the permanent deformation (PD) of the unbound granular materials (UGMs). The most recent flexible pavement structural design guide in Australia does not consider the response of the UGMs layers as a design criterion. Additionally, it referred to the absence of an appropriate prediction model. The available prediction models have complex equations with many variables; the use of some of which has been found to be unsuitable in Australia. Thus, the aim of this study was to develop a new simple constitutive model based on an empirical regression equation, which has two predictor variables and four regression parameters. Repeated load triaxial test data covering many loading cycles and stages of stresses were used in order to validate the proposed model by calibration. The tested materials, specified by VicRoads as high-quality base and subbase crushed rocks, were used to prepare 46 samples with a range of moisture contents, gradations, densities, and stress conditions. Additional validation was conducted by predicting the PD response of recycled crushed concrete for different stress conditions. The proposed model excellently matches the experimental PDs with the sum of squared error less than 0.060 and R~2 more than 0.96 over the tested matrix for both the crushed rocks and recycled concrete. This high prediction accuracy could lead to a better design of pavement materials and their thicknesses. A new update is proposed for the current Austroads flexible pavements design procedure by involving two more critical locations as performance criteria in the base and subbase layers based on the developed constitutive model. Adopting the proposed model can better generalise the design procedure to determine the accumulated vertical PD for the whole layer system.
机译:柔性路面的本构预测模型用于预测未粘结颗粒材料(UGM)的永久变形(PD)。澳大利亚最新的柔性路面结构设计指南并未将UGM层的响应视为设计标准。另外,它提到缺乏适当的预测模型。可用的预测模型具有包含多个变量的复杂方程式。在澳大利亚发现其中某些方法的使用不合适。因此,本研究的目的是基于经验回归方程开发一个新的简单本构模型,该模型具有两个预测变量和四个回归参数。重复的载荷三轴试验数据涵盖了许多载荷周期和应力阶段,以便通过校准来验证所提出的模型。被VicRoads指定为高质量基础和次基础碎石的测试材料用于制备46个样品,这些样品具有一定的水分含量,等级,密度和应力条件。通过预测再生碎混凝土在不同应力条件下的PD响应,进行了进一步的验证。对于破碎的岩石和再生混凝土,所提出的模型与试验PD具有极好的匹配性,其平方误差之和小于0.060,R〜2大于0.96。如此高的预测精度可能会导致路面材料及其厚度的更好设计。针对当前的Austroads柔性路面设计程序,提出了一个新的更新,其中基于开发的本构模型,在基础层和子层中包含了两个更多的关键位置作为性能标准。采用所提出的模型可以更好地概括设计过程,以确定整个层系统的累积垂直PD。

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