Application of a fuzzy rule-based method for the determination of clay dispersibility

被引:37
作者
Zorluer, Ismail [1 ]
Icaga, Yilmaz [1 ]
Yurtcu, Saban [1 ]
Tosun, Hasan [2 ]
机构
[1] Univ Afyon Kocatepe, Dept Construct Educ, Afyon, Turkey
[2] Univ Osmangazi, Dept Civil Engn, Eskisehir, Turkey
关键词
Dispersive clay; Double hydrometer; Pinhole; ESP-CEC; Na(%)-TDS; Fuzzy logic; SYSTEM; MODELS; SOILS;
D O I
10.1016/j.geoderma.2010.09.017
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
Some clay soils are highly susceptible to erosion and piping because of dispersion or deflocculation in pore water. These soils, called "dispersive clay soil" in geotechnical engineering, are structurally unstable, easily dispersive and, thus, highly erodible. There are many tests to determine dispersibility both physically and chemically. However, these tests can give different results for the same soil sample. Therefore, more than one test should be used to identify dispersive soils more accurately. In previous research, the discriminant method was used to combine these test results. In this study, a fuzzy logic approximation method was developed to combine the different results of the double hydrometer, pinhole, Na(%)-TDS and ESP-CEC methods into a single value. This new method was applied to the dispersibility test results of 29 samples, and it gave more reliable and objective results for identifying the dispersibility of the clay soil. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:189 / 196
页数:8
相关论文
共 21 条
  • [1] Fuzzy rule-based models for decision support in ecosystem management
    Adriaenssens, V
    De Baets, B
    Goethals, PLM
    De Pauw, N
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2004, 319 (1-3) : 1 - 12
  • [2] [Anonymous], 1997, B INT ASS ENG GEOLOG
  • [3] Bandemer H., 1996, Fuzzy Sets, Fuzzy Logic, Fuzzy Methods with Applications
  • [4] A further examination of the nature of dispersive soils in Natal, South Africa
    Bell, FG
    Walker, DJH
    [J]. QUARTERLY JOURNAL OF ENGINEERING GEOLOGY AND HYDROGEOLOGY, 2000, 33 : 187 - 199
  • [5] CRAFT D, 1986, GEOTECH TEST J, V9, P34
  • [6] ELMAS C, 2003, FUZZY LOGIC INSPECTI
  • [7] On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets
    Fernandez, Alberto
    Jose del Jesus, Maria
    Herrera, Francisco
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (06) : 9805 - 9812
  • [8] GERBER A, 1987, CIVIL ENG S AFRICA, V29, P397
  • [9] *IBM SPSS, IBM SPSS STAT 18
  • [10] KEVIN FR, 2009, EXPERT SYSTEMS APPL, V36, P5119