多尺度算法预测沥青混合料剪切疲劳剩余强度
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李友云(1973—),男,长沙理工大学教授,博士

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U416.217

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国家自然科学基金项目(11072041)


Prediction of residual shear fatigue strength of asphalt mixture by multiscale algorithm
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    摘要:

    为研究沥青混合料的剪切疲劳剩余强度,基于沥青混合料细观结构和多尺度算法建立二维剪切试验数值模型。根据多尺度算法及有限元数值模拟,逐级预测沥青混合料的疲劳剩余强度,并与剪切疲劳剩余强度的试验结果进行了对比。研究结果表明:沥青混合料细观力学尺度模型能够反映基体及集料对沥青混合料疲劳损伤的影响;多尺度算法逐级预测沥青混合料剪切疲劳剩余强度,避免了在建模过程出现集料缺失的情况;沥青混合料剪切试验获得的剪切疲劳强度与多层迭代算法预测值之间的误差较为稳定,能满足工程要求。

    Abstract:

    In order to study the residual shear fatigue strength of asphalt mixture,a two-dimensional numerical model of shear test was established based on the micro-structure of asphalt mixture and the multi-scale algorithm. According to the multi-scale algorithm and the finite element numerical simulation,the fatigue residual strength of asphalt mixture was predicted gradually,and that was compared with the shear residual strength of the test. The results show that the meso-mechanical scale model of asphalt mixture can reflect the influence of matrix and aggregate on the fatigue damage of asphalt mixture. The residual shear fatigue strength of asphalt mixture is predicted gradually by the multi-scale algorithm,which can avoid the absence of aggregate in the modeling process. The error between the fatigue shear strength obtained by the asphalt mixture shear test and the predicted value of the multi-layer iterative algorithm is relatively stable,which meets the engineering requirements.

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李友云,张宇辉,何敏,等.多尺度算法预测沥青混合料剪切疲劳剩余强度[J].交通科学与工程,2022,38(4):1-9.
LI youyun, ZHANG Yuhui, HE Min, et al. Prediction of residual shear fatigue strength of asphalt mixture by multiscale algorithm[J]. Journal of Transport Science and Engineering,2022,38(4):1-9.

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  • 在线发布日期: 2023-01-05
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