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.
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