重载铁路路基动回弹模量影响因素及预估模型
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TU411.8;TU433

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国家自然科学基金(51478279)、2019年石家庄铁道大学研究 生创新资助项目(YC2019002)


Influencing Factors and Predictive Model Analysis of Dynamic Resilient Modulus of Heavy Haul Railway Subgrade
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The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)(51478279、2019 Shijiazhuang Railway University Research Student Innovation Funding Project(YC2019002)

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    摘要:

    为准确预测重载铁路路基不同工作区域的动回弹模量,对动三轴加载序列进行重新设计,之后进行不同含水程度和不同压实程度状态下的动三轴序列加载试验。分析动回弹模量影响因素,并采用预估模型对动回弹模量进行回归分析。研究结果表明:动回弹模量随动应力幅值增大而减小,平均减小率为9.77%;动回弹模量随围压的增大而增大,平均增长率为16.16%。土体含水率与干密度的变化会导致动回弹模量发生变化,当动应力幅值较大时,动回弹模量变化趋近于线性变化。此外,综合考虑动应力和围压影响的Ni模型与试验结果具有良好的相关性,可以为重载铁路路基设计提供理论基础和经验参数。

    Abstract:

    In order to accurately predict the dynamic resilient modulus of different working areas of heavy haul railway subgrade,the dynamic triaxial loading sequence was redesigned. Then, the dynamic triaxial sequence loading test under different water content and different degrees of compaction was carried out. The factors influencing the dynamic resilient modulus are analyzed, and the predictive model is used to perform regression analysis on the dynamic resilient modulus. The results show that the dynamic resilient modulus decreases with the increase of the amplitude of the dynamic stress, and the average reduction rate is 9.77%. The dynamic resilient modulus increases with the increase of confining pressure, and the average growth rate is 16.16%. The change of soil moisture content and dry density will cause the dynamic resilient modulus to change. When the dynamic stress amplitude is large, the dynamic resilient modulus will change to a linear change. In addition, the Ni model considering the dynamic stress and confining pressure has a good correlation with the test results, which can provide theoretical basis and empirical parameters for the design of heavy-duty railway subgrade.

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宋慧来,薛明星,冯怀平,等. 重载铁路路基动回弹模量影响因素及预估模型[J]. 科学技术与工程, 2020, 20(10): 4080-4086.
Song Huilai, Xue Mingxing, Feng Huaiping, et al. Influencing Factors and Predictive Model Analysis of Dynamic Resilient Modulus of Heavy Haul Railway Subgrade[J]. Science Technology and Engineering,2020,20(10):4080-4086.

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  • 收稿日期:2019-07-17
  • 最后修改日期:2019-11-03
  • 录用日期:2019-09-23
  • 在线发布日期: 2020-05-19
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