ESTIMATION OF CLAY CONTENT USING THE FIRST AND SECOND NORM OF THE IDEALISED FALL CONE FLOW CURVE

This paper presents two models that predict the quantity of active clay content within the soil matrix. The first model utilizes the ratio of the second to the first norm (distance factor) of the idealized fall cone flow curve. In contrast, the second model is based on the correlation between liquid limit and clay content. These models were developed by analyzing 307 Atterberg limits and clay content test results, a comprehensive data collection from thirteen published literature. The models were validated using 55 test results from four additional published literature. The predicted clay content was within the statistical testing bound of ±12 given in AASHTO T88-10

本文提出两种模型，旨在预测土壤基质中活性粘粒含量的数量。首模型通过理想化圆锥漏斗流动曲线的第二至第一范数比率（距离因子）进行预测。相对而言，第二模型则基于液限与粘粒含量之间的相关性。这两个模型均基于对307个阿特堡极限和粘粒含量测试结果的全面分析而开发，这些数据来源于十三篇已发表的文献。模型验证则采用了来自四篇额外发表文献的55个测试结果。预测的粘粒含量在AASHTO T88-10标准所规定的±12的统计检验界限内。