基于颗分曲线预测土水特征曲线的M-V模型改进OA北大核心

The soil-water characteristic curve(SWCC)of marble with glue powder is measured by pressure film instrument,and the variation of soil water content under different suction is measured by nuclear magnetic resonance technology.The Gardner(GA)model and Fredlund-Xing(FX)model are used to fit the parame-ters of the measured SWCC test results to obtain the function equation.The SWCC is predicted based on the particle distribution curve combined with the traditional M-V model.Compared with the measured soil-water characteristic curve,it is found that the water content is lower in the high suction section.To solve this prob-lem,the water content calculation method of M-V prediction model is improved,and the combined water con-tent is predicted based on the verification model of nuclear magnetic curve combined water and free water critical suction.The results show that the combined water content predicted by the model is basically consistent with the results of NMR.The soil-water characteristic curve predicted by the improved M-V model is more consistent with the measured data.It is also applicable to both sand and loam soil,and can effectively predict the SWCC of other soil samples.