Assessing soil fractal and sorting characteristics based on geostatistics and modeling approaches in a typical basin of North China plain

Dai, Lei; Wang, Guiling; He, Yujiang

doi:10.1007/s12145-021-00575-9

Cited by 3 publications

(1 citation statement)

References 37 publications

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“…In this theory, soil is considered a complex natural fractal medium with self-similarity, and its particles and pores both have fractal characteristics [37][38][39][40]. Fractal dimension, a parameter characterizing the fractal property of an object, can describe soil structure quantitatively, such as pore and particle of soil [41][42][43][44][45][46]. Furthermore, fractal dimension can also establish a link between soil structure and soil-water characteristic curves (SWCC) [47,48], thus providing a convenient method to settle the problem of timeconsuming and laborious SWCC measurement.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Soil-Water Characteristic Curves for Different Textural Soils Using Fractal Analysis

Yang

et al. 2023

Water

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The soil-water characteristic curve (SWCC) is an essential tool to determine hydraulic and mechanical properties of unsaturated soils. As an inherent influencing factor, soil texture controls the characteristics of SWCCs. Fractal theory can quantitatively describe the physical characteristics of soil. This study used particle size distribution data and water content data contained in the UNSODA2.0 database to explore the fractal characteristics of 12 soil types with different textures under different matrix suctions. The SWCC fractal model was adopted to characterize the hydraulic properties of soil with various soil textures. The findings revealed that the mass fractal dimensions of particles from these 12 different soil types significantly differed and were closely related to the clay content. Fractal dimension increased with increasing clay content. The fractal dimension established a good relationship between soil structure and hydraulic properties. Fractal analysis can be used to determine the connection between physical properties and soil hydraulic parameters. The estimated results of the SWCC fractal model indicated that it had a good performance regarding the description of SWCCs for the 12 soil textures. The soil structure could be described through fractal dimensions, which can effectively indicate soil hydraulic characteristics. The estimated fractal dimension of this model could be obtained by particle size distribution. Furthermore, using the SWCC fractal model, we found that the SWCC of coarse textured soil changed sharply in the low suction stage and its residual water content was small, and the SWCC of fine textured soil changed gently with a large residual water content. The water retention capacity followed the order clay > silty clay > sandy clay > clay loam > silty clay loam > sandy clay loam > loam > silt loam > sandy loam > silt > loamy sand > sand.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Soil-Water Characteristic Curves for Different Textural Soils Using Fractal Analysis

Yang

et al. 2023

Water

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Spatiotemporal evolution characteristics of soil erosion and its driving mechanisms - a case Study: Loess Plateau, China

Wu,

Jiang,

Shi

et al. 2024

CATENA

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The Influence of the Fractal Dimension on the Mechanical Behaviors of the Soil–Rock Mixture: A Case Study from Southwest China

Zhu

Yuan

et al. 2023

Fractal Fract

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As the typical multi-phase geotechnical material, the particle size distribution of the natural soil–rock mixture (S−RM) has a significant impact on the structural and mechanical properties. The coarse grain content used in the laboratory and simulation tests falls short of accurately describing the particle size distribution feature of the entire material. The main subject of this article is the influence of the fractal dimension on mechanical behaviors based on the fractal theory. The double fractal characteristics were principally discussed along with the typical particle size distribution characteristics of the S−RM in the Three Gorges Reservoir and southwest China. The influence of the various fractal dimensions on the mechanical behaviors of S−RM was then investigated using three groups of large−scale triaxial tests, and the responses of the linear and nonlinear strength indexes were analyzed. The results show that the stress–strain curves of S−RM in the hyperbolic shape are visible under various confining pressure, and the nonlinear strength characteristics can be observed. The coarse grain content exhibits a negative correlation to the average fraction dimension. The difference between the coarse and fine grain fraction dimensions becomes considerably more obvious as the coarse grain content increases, which also increases the error when using the average fractal dimension. The voids between the coarse grains cannot be filled with the fine grains as the grain coarseness grows, resulting in a loose structure and a contact frictional effect, which lowers cohesion and raises the peak friction angle.

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Assessing soil fractal and sorting characteristics based on geostatistics and modeling approaches in a typical basin of North China plain

Cited by 3 publications

References 37 publications

Evaluation of Soil-Water Characteristic Curves for Different Textural Soils Using Fractal Analysis

Evaluation of Soil-Water Characteristic Curves for Different Textural Soils Using Fractal Analysis

Spatiotemporal evolution characteristics of soil erosion and its driving mechanisms - a case Study: Loess Plateau, China

The Influence of the Fractal Dimension on the Mechanical Behaviors of the Soil–Rock Mixture: A Case Study from Southwest China

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