细集料对级配碎石回弹模量的影响与预估模型

Research on the Influence of Fine Aggregate on the Resilient Modulus and Prediction Model for Graded Crushed Stone

  • 摘要: 为探究细集料对级配碎石基层变形特性的影响,在揭示细粉含量(Fc)、粉砂比(Dr)及塑性指数(PI)对回弹模量影响规律的基础上,建立了修正预估模型。以石灰岩和玄武岩石屑为对象,开展重复加载三轴试验,分析FcDrPI对回弹模量的影响规律;对比5种经典预估模型,通过统计学指标优选最优基准模型,并引入FcDrPI进行修正,利用实测数据验证模型精度。结果表明:Fc在1.5%~3%区间时级配碎石混合料抗变形能力最优;Dr的影响呈Fc依赖性,低细粉含量时较小的粉砂比和高细粉含量时较大的粉砂比,都有助于提高回弹模量;回弹模量随PI增大线性递减。建议细集料设计参数阈值为Fc=1.5%~3%、Dr=0.18~0.28、PI≤8。经修正后的模型在不同细集料参数条件下的预测精度R2均大于0.8。研究表明,所建模型能较准确表征细集料参数对回弹模量的影响,为级配碎石材料设计提供理论依据和技术支撑。

     

    Abstract: To investigate the influence of fine aggregates on the deformation characteristics of graded crushed stone, a modified prediction model was established based on revealing the effects of fines content (Fc), fines-to-sand ratio (Dr), and plasticity index (PI) on the resilient modulus. Taking limestone and basalt chips as research objects, repeated load triaxial tests were carried out to analyze the influence laws of Fc, Dr and PI on the resilient modulus. Five classical prediction models were compared, and the optimal one was selected via statistical indicators. Then Fc, Dr and PI were introduced as new variables to modify the optimal model, and the modified model was verified with measured data. Results show that when Fc is in the range of 1.5%~3%, the mixture exhibits optimal deformation resistance. The influence of Dr is strongly dependent on Fc: a lower Dr under low Fc or a higher Dr under high Fc both help increase the resilient modulus. The resilient modulus decreases linearly with increasing PI. The recommended thresholds for fine aggregate design parameters are Fc = 1.5%~3%, Dr = 0.18~0.28, and PI ≤ 8. The modified model achieves a prediction accuracy R2 > 0.8 under various fine aggregate conditions. This study demonstrates that the proposed model can accurately characterize the influence of fine aggregate parameters on resilient modulus, providing a theoretical basis and technical support for the design optimization of graded crushed stone materials.

     

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