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On the use of the Kozeny-Carman equation to predict the hydraulic conductivity of soils

机译:关于使用Kozeny-Carman方程预测土壤的水力传导率

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The saturated hydraulic conductivity of a soil can be predicted using empirical relationships, capillary models, statistical models, and hydraulic radius theories. A well-known relationship between permeability and the properties of pores was proposed by Kozeny and later modified by Carman. The resulting equation is largely known as the Kozeny-Carman (KC) equation, although the two authors never published together. In the geotechnical literature, there is a large consensus that the KC equation applies to sands but not to clays. This view, however, is supported only by partial demonstration. This paper evaluates the background and the validity of the KC equation using laboratory permeability tests. Test results were taken from publications that provided all of the information needed to make a prediction: void ratio, and, either the measured specific surface for cohesive soils, or the gradation curve for noncohesive soils. The paper shows how to estimate the specific surface of a noncohesive soil from its gradation curve. The results presented here show that, as a general rule, the KC equation predicts fairly well the saturated hydraulic conductivity of most soils. Many of the observed discrepancies can be related to either practical reasons (e.g., inaccurate specific surface value; steady flow not reached; unsaturated specimens, etc.) or theoretical reasons (some water is motionless; hydraulic conductivity of soils is anisotropic). These issues are discussed in relation to the predictive capabilities of the KC equation. [References: 91]
机译:可以使用经验关系,毛细模型,统计模型和水力半径理论来预测土壤的饱和水力传导率。 Kozeny提出了渗透率与孔隙性质之间的众所周知的关系,后来被Carman修改。最终的方程式在很大程度上被称为Kozeny-Carman(KC)方程式,尽管两位作者从未一起发表过。在岩土工程文献中,有一个很大的共识,即KC方程适用于沙子,而不适用于粘土。但是,仅部分演示支持该观点。本文使用实验室渗透率测试评估了KC方程的背景和有效性。测试结果来自出版物,这些出版物提供了进行预测所需的所有信息:空隙率,以及对于粘性土壤测得的比表面积,或者对于非粘性土壤的灰度曲线。本文展示了如何根据其梯度曲线估算非粘性土壤的比表面积。此处给出的结果表明,作为一般规则,KC方程可以很好地预测大多数土壤的饱和导水率。观察到的许多差异可能与实际原因(例如,比表面积值不准确;未达到稳定流量;不饱和标本等)或理论原因(某些水不动;土壤的水力传导率各向异性)有关。这些问题与KC方程的预测能力有关。 [参考:91]

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