Article(id=1222940984942518511, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222940980886626474, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20230114, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1675180800000, receivedDateStr=2023-02-01, revisedDate=1678032000000, revisedDateStr=2023-03-06, acceptedDate=null, acceptedDateStr=null, onlineDate=1769501451955, onlineDateStr=2026-01-27, pubDate=1700841600000, pubDateStr=2023-11-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769501451955, onlineIssueDateStr=2026-01-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769501451955, creator=13041195026, updateTime=1769501451955, updator=13041195026, issue=Issue{id=1222940980886626474, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='11', pageStart='1', pageEnd='226', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769501450987, creator=13041195026, updateTime=1769501450987, updator=13041195026, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=169, endPage=173, ext={EN=ArticleExt(id=1222940986083369278, articleId=1222940984942518511, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Analysis of Influencing Factors of Laterite Resistivity and Its Prediction Model Construction, columnId=1222925283779400191, journalTitle=Water Resources and Power, columnName=WATER CONSERVANCY AND HYDROPOWER ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

The resistivity method can reflect the soil physical index and structural properties, and it has the characteristics of high efficiency, convenience and non-destructive. In this study, the resistivity characteristics and the resistivity model of laterite had been analyzed using the pore water, water content and porosity as the key factors. A correction formula of contact resistance was proposed considering the influence of electrode area, and the resistivity prediction model of laterite had been established by introducing the structural factors to reflect the influence of pore water on the resistivity of laterite. The results show that the proposed contact resistivity correction formula can effectively reduce the test error, the laterite resistivity and structure factors decrease with the increasing water content and porosity with a power function relationship. The correlation of influencing factors of laterite resistivity is sorted as: pore water>water content>porosity. The resistivity prediction model of laterite was constructed with the variables of contact resistance, pore water, water content and porosity, which has high fitting accuracy. Thus, it can provide a reference for evaluating the physical indicators and structural properties of laterite.

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电阻率法能有效反映土体物理指标和结构特性,具有高效、便捷、无损等特点。以红粘土孔隙水、含水率及孔隙率为关键因素,开展红粘土电阻率特性及其模型试验研究,考虑到电极面积对测试电阻值的影响,提出了接触电阻的修正公式,并引入结构因子反映孔隙水对红粘土电阻率的影响,建立红粘土电阻率预测模型。结果表明,接触电阻率修正公式能有效减少接触电阻的试验误差;红粘土电阻率、结构因子随着含水率的增加而减小,随着孔隙率的增加而增大,均呈现出幂函数关系;红粘土电阻率影响因素相关性为孔隙水>含水率>孔隙率;以接触电阻、孔隙水、含水率和孔隙率为变量构建的红粘土电阻率预测模型,拟合精度较高,可为评价红粘土物理指标和结构特性提供参考。

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徐兴倩(1986-),男,副教授、硕导,研究方向为滑坡地质结构特征及形成机理分析,E-mail:
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蔡波(1998-),男,硕士研究生,研究方向为环境岩土工程,E-mail:

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蔡波(1998-),男,硕士研究生,研究方向为环境岩土工程,E-mail:

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蔡波(1998-),男,硕士研究生,研究方向为环境岩土工程,E-mail:

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红粘土电阻率影响因素分析及其预测模型构建
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蔡波 1 , 徐兴倩 1 , 屈新 2 , 彭光灿 1 , 王海军 1 , 陈小双 1
水电能源科学 | 水利水电工程 2023,41(11): 169-173
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水电能源科学 | 水利水电工程 2023, 41(11): 169-173
红粘土电阻率影响因素分析及其预测模型构建
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蔡波1 , 徐兴倩1 , 屈新2, 彭光灿1, 王海军1, 陈小双1
作者信息
  • 1.云南农业大学水利学院,云南 昆明 650201
  • 2.安阳工学院土木与建筑工程学院,河南 安阳 455000
  • 蔡波(1998-),男,硕士研究生,研究方向为环境岩土工程,E-mail:

通讯作者:

徐兴倩(1986-),男,副教授、硕导,研究方向为滑坡地质结构特征及形成机理分析,E-mail:
Analysis of Influencing Factors of Laterite Resistivity and Its Prediction Model Construction
Bo CAI1 , Xing-qian XU1 , Xin QU2, Guang-can PENG1, Hai-jun WANG1, Xiao-shuang CHEN1
Affiliations
  • 1.College of Water Resources and Hydraulic Engineering, Yunnan Agricultural University, Kunming 650201, China
  • 2.School of Civil and Architectural Engineering, Anyang Institute of Technology, Anyang 455000, China
出版时间: 2023-11-25 doi: 10.20040/j.cnki.1000-7709.2023.20230114
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电阻率法能有效反映土体物理指标和结构特性,具有高效、便捷、无损等特点。以红粘土孔隙水、含水率及孔隙率为关键因素,开展红粘土电阻率特性及其模型试验研究,考虑到电极面积对测试电阻值的影响,提出了接触电阻的修正公式,并引入结构因子反映孔隙水对红粘土电阻率的影响,建立红粘土电阻率预测模型。结果表明,接触电阻率修正公式能有效减少接触电阻的试验误差;红粘土电阻率、结构因子随着含水率的增加而减小,随着孔隙率的增加而增大,均呈现出幂函数关系;红粘土电阻率影响因素相关性为孔隙水>含水率>孔隙率;以接触电阻、孔隙水、含水率和孔隙率为变量构建的红粘土电阻率预测模型,拟合精度较高,可为评价红粘土物理指标和结构特性提供参考。

红粘土  /  电阻率模型  /  孔隙水  /  影响因素

The resistivity method can reflect the soil physical index and structural properties, and it has the characteristics of high efficiency, convenience and non-destructive. In this study, the resistivity characteristics and the resistivity model of laterite had been analyzed using the pore water, water content and porosity as the key factors. A correction formula of contact resistance was proposed considering the influence of electrode area, and the resistivity prediction model of laterite had been established by introducing the structural factors to reflect the influence of pore water on the resistivity of laterite. The results show that the proposed contact resistivity correction formula can effectively reduce the test error, the laterite resistivity and structure factors decrease with the increasing water content and porosity with a power function relationship. The correlation of influencing factors of laterite resistivity is sorted as: pore water>water content>porosity. The resistivity prediction model of laterite was constructed with the variables of contact resistance, pore water, water content and porosity, which has high fitting accuracy. Thus, it can provide a reference for evaluating the physical indicators and structural properties of laterite.

red clay  /  resistivity model  /  pore water  /  influencing factors
蔡波, 徐兴倩, 屈新, 彭光灿, 王海军, 陈小双. 红粘土电阻率影响因素分析及其预测模型构建. 水电能源科学, 2023 , 41 (11) : 169 -173 . DOI: 10.20040/j.cnki.1000-7709.2023.20230114
Bo CAI, Xing-qian XU, Xin QU, Guang-can PENG, Hai-jun WANG, Xiao-shuang CHEN. Analysis of Influencing Factors of Laterite Resistivity and Its Prediction Model Construction[J]. Water Resources and Power, 2023 , 41 (11) : 169 -173 . DOI: 10.20040/j.cnki.1000-7709.2023.20230114
  • 云南省基础研究计划面上基金项目(202101AT070271)
  • 国家自然科学基金项目(41867040)
  • 云南省高层次人才培养支持计划“青年拔尖人才”专项
2023年第41卷第11期
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doi: 10.20040/j.cnki.1000-7709.2023.20230114
  • 接收时间:2023-02-01
  • 首发时间:2026-01-27
  • 出版时间:2023-11-25
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出版历史
  • 收稿日期:2023-02-01
  • 修回日期:2023-03-06
基金
云南省基础研究计划面上基金项目(202101AT070271)
国家自然科学基金项目(41867040)
云南省高层次人才培养支持计划“青年拔尖人才”专项
作者信息
    1.云南农业大学水利学院,云南 昆明 650201
    2.安阳工学院土木与建筑工程学院,河南 安阳 455000

通讯作者:

徐兴倩(1986-),男,副教授、硕导,研究方向为滑坡地质结构特征及形成机理分析,E-mail:
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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