Regression models for intrinsic constants of reconstituted clays

F. Habibbeygi, H. Nikraz, B. K. Koul
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引用次数: 5

Abstract

Abstract In this study, four models were developed to predict intrinsic constants based on some simple physical parameters as well as clay mineralogy of a reconstituted clay sample. The effect of each predictor on the response was evaluated for each individual clay mineralogy. According to the results, it appears that the void ratio at liquid limit has the greatest effect on clays with a considerable amount of smectite, while the effect of the initial void ratio of such clays is the least amongst other clay minerals. The accuracy of the predictive model increases with the inclusion of clay mineralogy as an input parameter. R2 increases from 0.978 to 0.99 and from 0.831 to 0.896 for intrinsic parameters of and , respectively. A simplified method is also presented to determine the virgin compression line of reconstituted clays using the initial void ratio, the void ratio at the liquid limit, and its clay mineralogy.
重构粘土本征常数的回归模型
摘要在本研究中,基于一些简单的物理参数以及重构粘土样品的粘土矿物学,开发了四个模型来预测本征常数。针对每个单独的粘土矿物学,评估了每个预测因子对响应的影响。根据结果,液限孔隙比对含有大量蒙脱石的粘土的影响最大,而在其他粘土矿物中,这种粘土的初始孔隙比的影响最小。预测模型的准确性随着粘土矿物学作为输入参数的加入而增加。对于和的本征参数,R2分别从0.978增加到0.99和从0.831增加到0.896。还提出了一种利用初始孔隙比、液限孔隙比及其粘土矿物学确定重塑粘土原始压缩线的简化方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cogent Geoscience
Cogent Geoscience GEOSCIENCES, MULTIDISCIPLINARY-
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