Journal of Engineering Research
Journal of Engineering Research. 2026; 5: (2) ; 10.12208/j.jer.20260022 .
总浏览量: 100
1长江师范学院土木建筑工程学院 重庆
2重庆交通大学河海学院 重庆
*通讯作者: 王晓伟,单位:重庆交通大学河海学院 重庆; ;
土孔隙结构特征是影响土渗透性的重要因素,以粉质黏土为研究对象,通过离心- NMR试验和三轴固结-NMR试验,基于分形理论对土孔隙结构的分形特性进行研究。结果表明:固结压力对土样大孔隙含量的影响显著,而对中小孔隙含量的影响甚小,固结压力对土体孔隙结构的影响主要取决于对大孔隙的改变。土样的孔隙结构呈双重分形特征,不同固结压力下,土样大孔隙、整体孔隙的分形维数均在[2,3]区间,满足分形特征且均与孔隙比 呈良好的负相关线性关系。为基于孔隙比 预测土体大孔隙、整体孔隙的结构分形特征提供了新途径。
Soil pore structure characteristics constitute a crucial factor governing soil permeability. Using silty clay as the research object, centrifugal-NMR tests and triaxial consolidation-NMR tests were performed to investigate the fractal characteristics of soil pore structure within the framework of fractal theory. The results demonstrate that consolidation pressure exerts a significant influence on the macropore content of soil samples, whereas its effect on the content of mesopores and micropores is negligible. The impact of consolidation pressure on soil pore structure is primarily dominated by the modification of macropores. The pore structure of soil samples presents dual fractal characteristics. Under various consolidation pressures, the fractal dimensions of macropores and total pores in soil samples all lie within the interval [2, 3], satisfying fractal behavior and exhibiting a strong negative linear correlation with void ratio. This provides a novel method for predicting the fractal characteristics of macropore and total pore structures in soils based on void ratio.
[1] 路林海,武朝军,孙捷城,等.强竖向渗透济南红黏土的微观孔隙特征及CT渗流试验[J].上海交通大学学报,2022, 56(09):1218-1226.
[2] 胡海峰,李鹏,陈明浩,等. 基于核磁共振技术的水压作用下砂岩孔隙结构变化研究 [J]. 矿业科学学报, 2025, 10 (06):1130-1139.
[3] 郭勇义,高亚斌,曹敬,等.基于修正压汞法的不同瓦斯含量煤样孔隙结构及分形特征研究[J].中国矿业大学学报,2023, 52(06):1075-1083.
[4] 郭玉涵. 含水率和干密度影响下非饱和重塑黄土微观孔隙结构分形特征研究[D]. 兰州交通大学, 2024.
[5] 谢艳华,徐继成,刘帅宇,等. 结构性黏土扰动劣化过程及微观结构演化机制研究 [J/OL]. 水利水电技术(中英文), 2026, (04):1-15
[6] Hou X ,Zhu Y ,Chen S , et al.Investigation on pore structure and multifractal of tight sandstone reservoirs in coal bearing strata using LF-NMR measurements[J]. Journal of Petroleum Science and Engineering, 2020,(187):106757.
[7] Daigle H ,Johnson A ,Thomas B .Determining fractal dimension from nuclear magnetic resonance data in rocks with internal magnetic field gradients[J]. Geophysics,2014, 79(6):425-431.
[8] 董均贵, 吕海波, 陈国强. 基于核磁共振技术的孔隙水形态及土壤渗透性分析[J]. 农业工程学报, 2020, 36(6): 74-80.