Revised plastic soil classification system with soil behaviour type index based on CPTu

被引:0
|
作者
Zhongnian Yang [1 ]
Mingyu Liu [1 ]
Jinyuan Chang [2 ]
Xuesen Liu [3 ]
Xiang Meng [1 ]
Guojun Cai [4 ]
Xianzhang Ling [1 ]
机构
[1] Qingdao University of Technology,School of Civil Engineering
[2] Zhejiang Engineering Survey and Design Institute Group Co,College of Environment Science and Engineering
[3] LTD,College of Civil Engineering
[4] Ocean University of China,School of Civil Engineering
[5] Anhui Jianzhu University,undefined
[6] Harbin Institute of Technology,undefined
关键词
Atterberg limits; Plasticity chart; Soil classification; CPTu; Fine-grained soils; Soil behaviour type index; SBT chart;
D O I
10.1007/s10064-025-04223-0
中图分类号
学科分类号
摘要
The properties of soils are highly complex, and therefore, the classification system should be based on multiple perspectives of soil properties to ensure effective classification in geotechnical engineering. The current study of research demonstrates a lack of correlation between classification systems based on soil plasticity and those based on in-situ mechanical properties of soils. A CPTu-based plasticity classification system is proposed using the soil behaviour type index (Ic), with its reliability and limitations discussed. The results indicate that (1) Ic has the capacity to predict the stratigraphic distribution from the in-situ mechanical properties of soils. It showed a significant linear correlation with wL, which soil classification zone was similar to that of clay factor (CF); (2) A CPTu-plasticity classification system is proposed to characterize both plasticity and in-situ mechanical properties of soils. This system allows for the initial classification of soils solely based on CPTu data. Furthermore, it has been established that Ic = 2.95 can delineate the boundary between high- and low-compressibility soils. (3) The error is only 25.2% relative to the Moreno-Maroto classification chart, and the system tends to classify soils of intermediate nature as clay or silt. The distance between the data points and both the C-line and the new C-line (ΔIp, ΔIpIc) showed a significant positive correlation. Only one data point was misclassified, considering human error in measuring Ip. (4) The new classification chart has been found to be more applicable to offshore and marine soils.
引用
收藏
相关论文
共 50 条
  • [41] Frozen-Soil Classification With Index Testing
    Still, Benjamin
    Proskin, Sam
    Zubeck, Hannele
    Yang, Zhaohui
    MECHANICAL PROPERTIES OF FROZEN SOILS, 2013, 1568 : 169 - 179
  • [42] A new graphical approach to assess CPTU-based correlations between hydraulic conductivity and soil behavior type
    Mingfei Zhang
    Liyuan Tong
    Arabian Journal of Geosciences, 2022, 15 (12)
  • [43] Impact of Direct Soil Moisture and Revised Soil Moisture Index Methods on Hydrologic Predictions in an Arid Climate
    Jajarmizadeh, Milad
    bin Harun, Sobri
    Shahid, Shamsuddin
    Akib, Shatirah
    Salarpour, Mohsen
    ADVANCES IN METEOROLOGY, 2014, 2014
  • [44] Machine learning-enhanced soil classification by integrating borehole and CPTU data with noise filtering
    Xiao, Te
    Zou, Hai-Feng
    Yin, Ke-Sheng
    Du, Yu
    Zhang, Li-Min
    BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2021, 80 (12) : 9157 - 9171
  • [45] Machine learning-enhanced soil classification by integrating borehole and CPTU data with noise filtering
    Te Xiao
    Hai-Feng Zou
    Ke-Sheng Yin
    Yu Du
    Li-Min Zhang
    Bulletin of Engineering Geology and the Environment, 2021, 80 : 9157 - 9171
  • [46] Automatic classification system of soil cover based on color information
    Jorge, LAC
    Tozzi, CL
    De Maria, IC
    Crestana, S
    COMPUTERS IN AGRICULTURE, 1998, 1998, : 688 - 696
  • [47] Evaluating the Influence of Dynamic Compaction on Soft Soil Foundations Based on CPTu Testing
    Liu, Lulu
    Congress, Surya Sarat Chandra
    Cai, Guojun
    Puppala, Anand J.
    IFCEE 2021: EARTH RETENTION, GROUND IMPROVEMENT, AND SEEPAGE CONTROL, 2021, 324 : 403 - 413
  • [48] The Identification of the Uncertainty in Soil Strength Parameters Based on CPTu Measurements and Random Fields
    Pieczynska-Kozlowska, Joanna
    Baginska, Irena
    Kawa, Marek
    SENSORS, 2021, 21 (16)
  • [49] CPTu-based approaches for cyclic liquefaction assessment of alluvial soil profiles
    Ramos, Catarina
    da Fonseca, Antonio Viana
    Ferreira, Cristiana
    SOILS AND ROCKS, 2021, 44 (04):
  • [50] CPTU SIMPLIFIED STRESS-BASED MODEL FOR EVALUATING SOIL LIQUEFACTION POTENTIAL
    Juang, C. Hsein
    Chen, Chien-Hsun
    Mayne, Paul W.
    SOILS AND FOUNDATIONS, 2008, 48 (06) : 755 - 770