沥青混合料的破坏比强度标准及其在车辙预测中的应用

IF 3.4 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
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引用次数: 0

摘要

采用当前的破坏比强度理论来预测沥青混合料在不同温度下的多轴强度。根据沥青混合料的无量纲三轴强度,推荐了六个经验参数值,以建立相应的无量纲强度准则。采用不同沥青混合料(包括 OGFC-13、AC-13、AC-20、AC-25、SMA-13 和 SUP12.5)在不同温度下的多轴强度数据来验证所建议的准则,然后将其与其他准则进行比较。结果表明,所建议的参数值统一的无量纲强度准则可以准确预测沥青混合料在不同温度下的真实三轴强度、约束三轴强度和双轴强度值。此外,所提出的标准还用于阐明车辙的力学机理,为预测路面在荷载作用下的流动车辙提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Damage ratio strength criterion for asphalt mixtures and its application in rutting prediction
The current damage ratio strength theory is employed to predict the multiaxial strength of asphalt mixtures at various temperatures. Based on the dimensionless triaxial strength of asphalt mixtures, the values of six empirical parameters are recommended to establish the corresponding dimensionless strength criterion. The multiaxial strength data of diverse asphalt mixtures, including OGFC-13, AC-13, AC-20, AC-25, SMA-13, and SUP12.5 at different temperatures, are employed to validate the proposed criterion, which is then compared with other criteria. The results indicate that the suggested dimensionless strength criterion with uniform parameter values can accurately predict the true triaxial, confining triaxial, and biaxial strength values of asphalt mixtures across various temperatures. Furthermore, the proposed criterion is employed to elucidate the mechanical mechanism of rutting, offering a valuable insight for predicting flow rutting of pavement under loads.
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来源期刊
Mechanics of Materials
Mechanics of Materials 工程技术-材料科学:综合
CiteScore
7.60
自引率
5.10%
发文量
243
审稿时长
46 days
期刊介绍: Mechanics of Materials is a forum for original scientific research on the flow, fracture, and general constitutive behavior of geophysical, geotechnical and technological materials, with balanced coverage of advanced technological and natural materials, with balanced coverage of theoretical, experimental, and field investigations. Of special concern are macroscopic predictions based on microscopic models, identification of microscopic structures from limited overall macroscopic data, experimental and field results that lead to fundamental understanding of the behavior of materials, and coordinated experimental and analytical investigations that culminate in theories with predictive quality.
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