基于动力锥贯入试验的风积沙路基强度参数预测模型优化研究

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Optimization of Strength Parameter Prediction Model for Aeolian Sand SubgradeBasedonDynamicConePenetration Test

LI Gaojuan1LI Jia1GAO Qingdong1GAO Dong²LIANGYongqian² （1.School of Civil Engineering，Lanzhou Jiaotong University，Lanzhou 73oo7O， China; 2.China Communications Ruitong Construction Engineering Co.，Ltd.，Beijing 1OO176， China）

Abstract：[Purposes] To improve the applicability and accuracy of the Dynamic Cone Penetrometer （DCP）test in evaluating the strength of subgrade soils，it is necessary to investigate the factors influencing the correlation between the Dynamic Cone Penetration Index （DCPI） and subgrade strength parameters.[Methods] In this study，DCP tests were conducted on aeolian sand subgrade，along with laboratory California Bearing Ratio （CBR） tests and direct shear tests.The correlations between DCPI and soil strength indicators（ CBR ， CBRw ， c ， ψ ）were analyzed， taking into account the effects of soil moisture content and compaction degree.[Findings] The experimental results indicated that DCPI， CBR ， c ，and φ of aeolian sand are all related to soil moisture content and compaction degree. Specifically，these parameters showed a linear positive correlation with compaction degree and a nonlinear variation with increasing moisture content.By incorporating moisture content into strength parameter prediction model，the prediction accuracy was significantly improved.[Conclusions] The strength parameter prediction model that accounts for moisture content variability provides a theoretical basis for the effective application of

the DCP test in subgrade quality assessment.

Keywords： aeolian sand subgrade; dynamic cone penetration test; strength parameters; correlation analysis; prediction model optimization

0 引言

风积沙是经过长期风化，并在风力作用下不断搬运堆积所形成的沙层，具有颗粒细、无黏性、天然含水量小、保水性差、抗压能力强等特性[1-4]。（剩余8689字）