沥青混凝土级配曲线的数值设计方法与对有效弹性模量影响的研究

沥青混凝土有效性能的预测和评估是其在道路工程与大坝防渗等应用中的关键问题.论文利用细观随机建模技术和有限元方法研究了级配曲线对沥青混凝土有效弹性模量的影响.首先,基于改进的蒙特卡洛法分别实现了服从工程筛分级配曲线或给定函数级配曲线的沥青混凝土细观随机模型的高效生成;然后,利用建立的模型分析了骨料的含量、弹性模量和试样尺...

Research on the Numerical Design Method of Asphalt Concrete Gradation Curve and Its Influence on Effective Elastic Modulus

The prediction and assessment of the effective property of asphalt concrete is a key issue in its application in road engineering and dam seepage prevention. This paper uses meso-random modeling technology and finite element method to study the effect of gradation curve on the effective elastic modulus of asphalt concrete. First of all, based on the improved Monte Carlo method, the efficient generation of an asphalt concrete meso-random model that obeys the experimental sieve grading curve or the given function grading curve is realized. Then, the established model was used to analyze the influence of aggregate content, elastic modulus and sample size on the effective elastic modulus of asphalt concrete, and compared with the experimental results to verify the reliability of the built model. Therefore, the degree of unevenness of the gradation curve in the AC-13 gradation range, that is, the influence of the composition ratio of coarse and fine aggregates on the effective elastic modulus of asphalt concrete, is predicted. The calculation results show that the concavity and convexity of the gradation curve has a big difference in the effect of its effective elastic modulus; the depression of the gradation curve (increasing the proportion of coarse aggregate) results in the rapid increase of the effective elastic modulus, and the convexity of the gradation curve (increasing the proportion of fine aggregate) also incurs the small rise of the effective elastic modulus. In addition, the proposed random modeling method can realize the customized design of the gradation curve, that is, the composition ratio of coarse and fine aggregates.