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首页> 外文期刊>Road materials and pavement design >Predictive modelling of the M_R of subgrade cohesive soils incorporating CPT-related parameters through a soft-computing approach
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Predictive modelling of the M_R of subgrade cohesive soils incorporating CPT-related parameters through a soft-computing approach

机译：通过软计算方法将CPT相关参数掺入CPT相关参数的PPRADE粘性土壤M_R的预测建模

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摘要

Performance of pavements is significantly influenced by the characteristics and behaviour, e.g. compaction and deformation, of their underlying layer as subjected to different loadings. This can be experimentally or theoretically estimated through the subgrade soil resilient modulus (M-R) parameter. The M-R found by laboratory tests does not completely describe the actual in situ conditions of subgrade soils. Additionally, almost all of the predictive models proposed in the literature relate the M-R parameter to lab-related soil indices and conditions of stresses applied in laboratory tests. This study explores the feasibility of producing a new M-R equation using key soil lab and in situ related parameters for the pavements subgrade cohesive soils through gene expression programing (GEP) approach. A database comprising several experimental data acquired by conducting cone penetration test and corresponding resilient moduli tests on various cohesive subgrade soils is employed for modelling of the pertinent M-R factor and a new empirical mode is suggested. In order to examine the proposed model from both precision and engineering perspectives, various validation and verification analyses are done. The results present that the strength of GEP approach and the proposed formula for indirect estimation of the M-R of pavements subgrade soils.
机译：路面的性能受到特征和行为的显着影响，例如，压实和变形，其底层的底层作为不同的载荷。这可以通过Droprade土壤弹性模量（M-R）参数进行实验或理论估计。通过实验室测试发现的M-R并未完全描述路基土壤的实际原位条件。此外，文献中提出的几乎所有预测模型都将M-R参数与实验室测试中应用的实验室相关的土壤指标和应力条件相关。本研究探讨了使用关键土实验室制造新的M-R方程的可行性，并通过基因表达编程（GEP）方法，以路面降解粘性土壤的原位相关参数。包括通过在各种内聚力降土中进行锥形渗透试验和相应的弹性模态测试来获取的数据库，用于建模相关的M-R因子和建议新的经验模式。为了从精度和工程角度来检查所提出的模型，完成了各种验证和验证分析。结果表明，GEP方法的强度和拟议的路面估计路面级级土壤的间接估计。

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