基于多种群遗传算法的考虑浅层基岩及粘弹性的路基模量反演研究
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长沙理工大学

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国家重大仪器研制项目(No. 51927814); 国家杰出青年基金(N0. 52025085);国家自然科学基金(N0. 51878078);长沙理工大学研究生创新项目(No. CX2020SS09)


Modulus Back-calculation of Subgrade Considering Shallow Bedrock and Viscoelasticity Based on Multi Population Genetic Algorithm
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Changsha University of Science and Technology

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National Major Scientific Instruments and Equipments Development Project (No. 51927814); National Science Fund for Distinguished Young Scholars (N0. 52025085);National Natural Science Foundation of China (51878078);Graduate Innovation Program of Changsha University of Science & Technology (No. CX2020SS09)

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    摘要:

    本文提出了一种考虑浅层基岩和粘弹性的路基模量反算新思路。对于路基模型,分别采用位移边界条件和开尔文模型来描述浅层基岩深度和粘弹性性质,并利用有限元软件对PFWD现场试验进行模拟,同时采用多种群遗传算法对路基模量最优值进行迭代。基于新方法,有限元模拟计算结果表明,考虑浅层基岩的正算模型的反演模量平均误差为7.0%,而考虑半空间的高达16.2%,说明忽略浅层基岩会使反演模量产生较大的误差;随着浅层基岩深度的增加,误差减小,当深度为3m时,影响几乎不存在。同时,对于考虑粘弹性的有限元模型,在正算模型中忽略该特性的最大误差可达27.9%,而考虑粘弹性的最大误差仅为7.4%。此外,由于浅层基岩深度勘探难度大,研究仅从理论方面进行。

    Abstract:

    This article proposes a new idea for modulus back-calculation of the subgrade considering shallow bedrock and viscoelastic property. For the subgrade model, displacement boundary conditions and Kelvin model are adopted to describe the depth of shallow bedrock and viscoelastic property, respectively. The portable falling weight deflectometer (PFWD) field test is simulated by ABAQUS general finite element (FE) software, and the optimal value of modulus is iterated by multi population genetic algorithm (MPGA). Based on the new method, back-calculation results of 48 sets working condition from FE simulation tests show that the modulus average error of the forward model considering shallow bedrock is 7.0%, while that of the forward model considering half space is as high as 16.2%, which means that ignorance of shallow bedrock in the forward model of back-calculation program may cause significant error on the inversion modulus, but its influence narrows with the increase of the depth of the shallow bedrock, and the limit depth is 3m. Similarly, for the FE model considering viscoelasticity, the maximum error of ignorance of this property in the forward model reaches 27.9%, compared with error being only 7.4% of considering viscoelasticity in the forward model. In addition, due to the difficulty of exploring the depth of shallow bedrock, the researches are only conducted from the theoretical aspect.

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  • 收稿日期:2021-12-07
  • 最后修改日期:2022-02-11
  • 录用日期:2022-02-23
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