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(γ_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.

中文翻译：

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根据土壤的一些现场测量预测加利福尼亚承载比

在这项研究中，研究了加利福尼亚承载比 (CBR) 的快速安全可预测性，这些参数可以轻松、廉价地获得一些重要的土壤参数。在本研究的范围内，锡瓦斯省（土耳其）不同地区的 21 种不同土壤的 CBR 值是通过 CBR 测试原位确定的。然后，在相同的土壤上进行标准穿透测试 (SPT) 和地面振动测量。同时，通过实地和实验室研究，确定了土壤的一些物理特性。进行回归分析是为了建立 CBR 与现场和实验室研究结果之间的相关性。CBR 与峰值粒子速度、吹气次数（SPT- N值）、含水量（w ) 和干单位重量 ( γ _d )。通过使用均方根误差 (RMSE) 和方差解释 (VAF) 指数测试所有建议方程的预测性能，特别是观察到 CBR – 地面振动和 CBR – 标准穿透值之间的相关性具有较高的预测表现。良好的性能指标（相关系数、RMSE、VAF）表明土壤的 CBR 值可用于初步评估。