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基于灰色系统及验证试验的黏性土分散机理分析

赵高文, 樊恒辉, 石美, 马小莉, 李玉根, 韦锋

赵高文, 樊恒辉, 石美, 马小莉, 李玉根, 韦锋. 基于灰色系统及验证试验的黏性土分散机理分析[J]. 岩土工程学报, 2015, 37(zk2): 186-190. DOI: 10.11779/CJGE2015S2036
引用本文: 赵高文, 樊恒辉, 石美, 马小莉, 李玉根, 韦锋. 基于灰色系统及验证试验的黏性土分散机理分析[J]. 岩土工程学报, 2015, 37(zk2): 186-190. DOI: 10.11779/CJGE2015S2036
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ZHAO Gao-wen, FAN Heng-hui, SHI Mei, MA Xiao-li, LI Yu-gen, WEI Feng. Dispersion mechanism of soils revealed by grey system theory and verification tests[J]. Chinese Journal of Geotechnical Engineering, 2015, 37(zk2): 186-190. DOI: 10.11779/CJGE2015S2036
Citation: ZHAO Gao-wen, FAN Heng-hui, SHI Mei, MA Xiao-li, LI Yu-gen, WEI Feng. Dispersion mechanism of soils revealed by grey system theory and verification tests[J]. Chinese Journal of Geotechnical Engineering, 2015, 37(zk2): 186-190. DOI: 10.11779/CJGE2015S2036
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基于灰色系统及验证试验的黏性土分散机理分析  English Version

  • 1. 同济大学地下建筑与工程系,上海200092; 2. 榆林学院建筑工程系,陕西 榆林 719000; 3. 西北农林科技大学水利与建筑工程学院,陕西 杨凌 712100; 4. 中国科学院大学资源与环境学院,北京 100049 榆林市产学研合作项目（2014cxy-05）

基金项目: 国家自然科学基金项目（51379177）; 榆林学院博士、硕士; 科研启动基金项目（14KG29）; 陕西省教育厅基金项目（14JK1861）
详细信息
    作者简介:

    赵高文（1988- ）,男,陕西榆林人,博士研究生,助教,研究方向为特殊性土的工程性质及荒漠化治理。

Dispersion mechanism of soils revealed by grey system theory and verification tests

  • 1. Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China; 2. Department of Architecture Engineering, Yulin University, Yulin 719000, China; 3. College of Water Conservancy and Architectural Engineering, Northwest A&F University, Yangling 712100, China; 4. College of Resources and Environment, University of ChineseAcademy of Sciences, Beijing 100049, China

摘要

    摘要
  • 摘要: 分散性土发现至今,对其产生分散性的机理一直存在争议。应用灰色系统理论对实际工程123组土样的物理、化学和矿物学性质以及土体分散性试验结果进行分析,得到各因素与分散性之间的关联度,从而评价各因素与分散性的紧密程度,并结合验证试验结果进行机理分析。结果表明,化学因素与土体分散性关系最为密切;pH与分散性关联度最大,钠离子含量以及蒙脱石含量则关联较低;土体产生分散性本质条件为高酸碱度和高交换性钠离子百分比,且需同时具备;不能利用单纯钠离子含量或蒙脱石总量来预测和评价土体的分散性。
    Abstract: The dispersion mechanism of cohesive soils has not been fully understood because of the complex nature of system. In this study, dispersivities of 123 field engineering soil samples are analyzed and correlated to their major influencing factors (physical properties, mineral properties and chemical properties) using the grey system theory and laboratory certification tests to understand the dispersion mechanism of associated soils. The grey system analysis shows that the chemical properties (e.g. pH of soils) have the highest correlation intensity with the soil dispersivity, with less impacts due to soil sodium and montmorillonite contents. The soils with high dispersivity are routinely observed to have a rich exchangeable sodium content and high pH values. The dispersivity of cohesive soils can not be predicted solely by their sodium or total montmorillonite contents.
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    • 参考文献(13)
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  • 收稿日期:  2015-03-25
  • 发布日期:  2015-07-24

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