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Statistical Modelling of the Relationship Between Bearing Capacity and Fines Content of Soil using Square Footing

机译:平方根法计算地基承载力与细土含量关系的统计模型

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This paper focuses on the use of non-linear regression to model the relationship between bearing capacity and fines content of soil, using square footing. This is with a view to providing a faster and economical method for determining the bearing capacity of soil. Lateritic soil samples were collected and subjected to laboratory tests/analysis which include: determination of particle size; separation of fines content from the coarse fraction by wet sieving; reconstitution of the fines and the coarse fractions in varying proportions of fines to coarse ratios, from 0:100 in 10% increments; and laboratory tests leading to the determination of the bearing capacity. Statistical (non-linear regression) models were then developed and evaluated to ascertain the relationship between bearing capacity of square footing and fines content of the soil samples. The results of the study showed that the bearing capacity of soil samples generally reduced with increase in fines content. The developed model was found to be valid and revealed that a non-linear relationship exists between the bearing capacity of square footing and fines content.
机译:本文着重于利用非线性回归,以平方英尺为基础,对承载力与土壤细粒含量之间的关系进行建模。这是为了提供一种更快,更经济的确定土壤承载力的方法。收集红土土壤样品,并进行实验室测试/分析,包括:粒径的测定;通过湿法筛分将粗粉中的细粉含量分离;从细粉到粗粉比例的不同比例对细粉和粗粒进行重构,从0:100以10%的增量进行;和实验室测试导致确定承载能力。然后开发统计(非线性回归)模型并进行评估,以确定平方英尺的承载力与土壤样品细度之间的关系。研究结果表明,土壤样品的承载力通常随着细粉含量的增加而降低。发现所开发的模型是有效的,并揭示了平方英尺的承载力与细粉含量之间存在非线性关系。

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