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首页> 外文期刊>The international journal of pavement engineering >Air void effect on an idealised asphalt mixture using two-dimensional and three-dimensional discrete element modelling approach
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Air void effect on an idealised asphalt mixture using two-dimensional and three-dimensional discrete element modelling approach

机译:使用二维和三维离散元建模方法对理想化沥青混合料的气孔效应

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摘要

In this study, an idealised asphalt mixture was modelled with the discrete element method for both two-dimensional (2D) and three-dimensional (3D) cases. The air voids were randomly generated and counted within the models to reach a specific air void level (e.g. 6%). The 2D models were used to compute the strain and stress responses when the specimens were subjected to a compressive load. Then, the moduli of the specimens were computed from the stress-strain curves. The 3D idealised model was generated using a number of layered 2D models. The air void distribution patterns were also studied with 2D and 3D randomly generated models at specific air void levels. The results showed that the modulus deviation increases when the air void level increases. In addition, the modulus deviations of the 3D models were found to be much lower than those of the 2D models. When comparing the modulus predictions from the 2D models with those from the 3D models, the research proved that the 3D models yielded higher moduli than the 2D models. The average of the predicted modulus difference between 2D and 3D models was 26% at 10% air voids, and 7% at 4% air voids. When the air void increased from 0 to 10%, the modulus decreased by 30% in the 3D models, when compared with 48% in the 2D models. The 2D and 3D models predicted the same modulus for 0% of air voids. However, the 2D models under-predicted the mixture modulus, especially when the air void level was higher. In the 2D modelling of the asphalt mixtures, a large number of models were needed to achieve a reasonable prediction due to larger deviation, even at lower air void levels. At higher air void levels, the 3D models yielded a much higher prediction than 2D simulations.
机译:在这项研究中,理想化的沥青混合料是用离散元方法对二维(2D)和三维(3D)情况建模的。随机产生气隙并在模型内计数以达到特定的气隙水平(例如6%)。当样品受到压缩载荷时,使用2D模型计算应变和应力响应。然后,从应力-应变曲线计算出样品的模量。 3D理想化模型是使用许多分层2D模型生成的。还使用2D和3D随机生成的模型在特定气隙水平下研究了气隙分布模式。结果表明,随着气隙水平的增加,模量偏差增大。此外,发现3D模型的模量偏差远低于2D模型。当比较2D模型和3D模型的模量预测时,研究证明3D模型产生的模量高于2D模型。 2D和3D模型之间的预测模量差异的平均值在10%气隙时为26%,在4%气隙时为7%。当空隙从0增加到10%时,3D模型中的模量降低了30%,而2D模型中的模量则降低了30%。 2D和3D模型针对0%的空隙预测了相同的模量。但是,二维模型对混合模量的预测不足,特别是当空气空隙水平较高时。在沥青混合料的2D建模中,由于偏差较大,即使在较低的空气空隙水平下,也需要大量模型来实现合理的预测。在较高的空气空隙水平下,3D模型产生的预测比2D模拟要高得多。

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