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Prediction of the California bearing ratio from some field measurements of soils

机译:从土壤一些田间测量的加利福尼亚轴承比预测

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In this study, the fast and safe predictability of the California bearing ratio (CBR) from some important soil parameters that can be obtained easily and cheaply was investigated. Within the scope of this study, the CBR values of 21 different soils in different regions of Sivas province (Turkey) were determined in situ by CBR tests. Then, standard penetration tests (SPT) and ground vibration measurements were conducted on the same soils. At the same time, some physical properties of the soils were determined as a result of field and laboratory studies. Regression analyses were carried out in order to develop correlations between the CBR, and field and laboratory study results. Significant and highly correlated relations between the CBR and peak particle velocity, blow number (SPT-N value), water content (w) and dry unit weight(gamma(d)), were obtained. Prediction performance of all proposed equations were tested by using the root mean square error (RMSE) and variance account for (VAF) indices, and particularly, correlations obtained between the CBR - ground vibration and CBR - standard penetration values were observed to have high prediction performance. Good performance indices (correlation coefficients, RMSE, VAF) indicate that the CBR values of soils can be used for initial assessment.
机译:在这项研究中,研究了来自一些重要的土壤参数的加州轴承比(CBR)的快速安全可预测性,可容易且便宜地获得。在本研究的范围内,Sivas省(土耳其)不同地区的21种不同土壤的CBR值均由CBR检验确定。然后,在同一土壤上进行标准穿透试验(SPT)和地振动测量。同时,土壤的一些物理性质被确定为现场和实验室研究。进行回归分析,以便在CBR和现场和实验室研究结果之间形成相关性。得到CBR和峰值粒子速度,吹数(SPT-N值),水含量(W)和干燥单位重量(γ(D))之间的显着且高度相关的关系。通过使用(VAF)指数的根均线(RMSE)和方差账号来测试所有提出的等式的预测性能,特别地,观察到CBR振动和CBR标准穿透值之间获得的相关性具有高预测表现。良好的性能指数(相关系数,RMSE,VAF)表明土壤的CBR值可用于初始评估。

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