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ESTIMATION OF FOUR-DAY SOAKED CBR USING INDEX PROPERTIES

机译：使用指数特性估算四天浸泡CBR

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California Bearing Ratio (CBR) is an important parameter used to evaluate the strength of subgrade and sub-base soils for design of flexible pavements and hence it plays a significant role in road and highway constructions. Obtaining CBR is heavily time consuming and it is difficult to acquire a representative CBR value. Therefore, many correlations have been developed by various researchers worldwide to predict the CBR. Due to differences in soil formations in the tropical environment, these existing global correlations found to be not satisfactory with local soils in Sri Lanka. Hence, this study was carried out to develop empirical correlations between CBR and index properties those best suit for local soils, using the data obtained from Atterberg limits and sieve analysis tests together with compaction tests. The new correlations were established using the method of regression analysis in the form of empirical equations representing the role of index properties. Robust regression by the method of least absolute residuals using MATLAB was considered in the analysis to reduce the impact of outliers along with traditional multiple regression using Microsoft Excel. As a final verification, several laboratory tests were conducted to compare the results with proposed regression equations.
机译：加州轴承比（CBR）是用于评估柔性路面设计的路基和亚基土壤强度的重要参数，从而在道路和公路建设中起着重要作用。获得CBR严重耗时，并且难以获取代表性的CBR值。因此，全球各种研究人员开发了许多相关性来预测CBR。由于热带环境中的土壤形成差异，这些现有的全球相关性与斯里兰卡的当地土壤没有令人满意。因此，本研究进行了使用从Atterberg限制和筛分测试的数据与压实试验一起产生的CBR和指数特性的经验相关性。使用代表指数特性作用的经验方程形式的回归分析方法建立了新的相关性。在分析中考虑了使用MATLAB的最低绝对残差的方法的强大回归，以减少异常值的影响以及使用Microsoft Excel的传统多元回归。作为最终验证，进行了几种实验室测试以将结果与提出的回归方程进行比较。

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