Study of the relationship between the fundamental properties of fine soils and those of mathematical models of particle size distribution and geotechnical quantities

Ahouet, Louis; Ngoulou, Mondésire Odilon; Okina, Sylvain Ndinga; Kimbatsa, Fabien T.

doi:10.1007/s12517-022-10378-x

Cited by 3 publications

(7 citation statements)

References 17 publications

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“…According to Figure 5 and Figure 8, the correlations between the plasticity index and the blue value of a soil on the one hand and the specific surface and the cation exchange capacity on the other hand are linear fits for all soils [34].…”

Section: Discussionmentioning

confidence: 93%

Geotechnical Characterization of Termite Mound Soils of Congo

Ahouet¹,

Ngoulou²,

Okina³

et al. 2022

OJCE

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This study is to determine the activities and correlations in the fundamental properties of the termite mounds soils Cubitermes spp and Macrotermes sp.The Intrinsic properties depend on the mineralogy, organic composition and texture of soil. Grain size, Atterberg limits and soil blue values are geotechnical properties that were used to characterize the two soils. On the basis of the geotechnical properties, specific surface area, cation exchange capacity, relative activity, surface activity and soil activity were determined. The correlations obtained in the intrinsic soil properties are linear and polynomial fits. Indeed, the relationship between the plasticity index and the blue value of a soil on the one hand and between the specific surface area and the cation exchange capacity on the other hand, is a linear fit for all soils in general. The relationship between plasticity index and specific surface area is a linear fit for the soils (C, M). Correlations in intrinsic soil properties that have a coefficient of determination close to 1 can be used in geotechnical engineering to predict one of the two desired parameters.

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Section: Discussionmentioning

confidence: 93%

Geotechnical Characterization of Termite Mound Soils of Congo

Ahouet¹,

Ngoulou²,

Okina³

et al. 2022

OJCE

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“…From Table 1, Table 2, the soils of Djoumouna 4 and Ngouéndi jaune, despite the fact that they have the same clay fraction CF (53.9%), their respective specific surface areas SSA (13.14 m 2 /g, 14.23 m 2 /g) are different [2] [7]. This disparity is related to the particle size distribution, mineralogical and organic composition of soils [6] [20].…”

Section: Discussionmentioning

confidence: 99%

“…The amount and type of clay are described by the plasticity index which is the range of water content over which a soil exhibits plastic behaviour. The behaviour of fine soils is dominated by the specific surface area [3] and the cation exchange capacity [4] [5], two intrinsic properties of fine soils [2] [6]. Specific surface area has been used to define the term relative activity as the ratio of plasticity index to specific surface area [7].…”

Section: Introductionmentioning

confidence: 99%

“…However, the type of mineral present in the clay fractions is of major importance in determining the effect of specific surface area on the properties of clay fines [2]. The specific surface area varies considerably from one soil to another due to differences in mineralogy, organic composition and particle size distribution [6]. In this case, the specific surface area can be considered as an inherent soil property.…”

Section: Introductionmentioning

confidence: 99%

“…In this case, the specific surface area can be considered as an inherent soil property. However, the grain size distribution of a soil is one of the determining factors used to classify soils and define standards for use in geotechnics [6] [9]. For this purpose, it is important to define the geotechnical characteristics of soils on the one hand and, on the other hand, their interactions with the local environment [10].…”

Section: Introductionmentioning

confidence: 99%

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Characterization of the Activity, Mineralogy and Correlations between the Properties of Clayey Soils

Ahouet¹,

Dzaba²,

Elenga³

et al. 2022

JMMCE

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The activity is related to the mineralogy and geological history of clays. Soils with the same value of the liquidity limit or plasticity index can have very different characteristics depending on the amount and type of clay minerals. The methylene blue value characterizes the activity of the clays and reflects the surface activity. Ten inactive soils contain minerals (kaolinite, illite), these soils absorb little water. Two swelling soils have normal activity and are composed of minerals (kaolinite, illite, Montmorillonite). The relationships between clayey soils properties, their activities and between the activity and the liquidity limit are defined. The correlations obtained are linear fit and exponential and sigmoidal fits. The correlations obtained with a coefficient of determination of R 2 (0.859 -0.999) can be used to characterize and predict certain parameters of fine-grained soils as a function of clay content.

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