Effects of fractal dimension and water content on the shear strength of red soil in the hilly granitic region of southern China

Zhang, Yue; Zhong, Xiaoyan; Lin, Jinshi; Zhao, Dongfeng; Jiang, Fangshi; Wang, Ming-Kuang; Ge, Hongli; Huang, Yanhe

doi:10.1016/j.geomorph.2019.106956

Cited by 36 publications

(14 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the increase in moisture content, the distance between soil particles and the thickness of the water film increased, and as a result, cohesion between soil particles decreased. Our finding was in order with [20], who indicated a negative impact of soil moisture content on cohesion.…”

Section: Discussionsupporting

confidence: 84%

“…As at this time paddy soil would be in a rheological state and the gaps between particles were filled with water, the particles could move freely without resistance [36]. Our results are supported by [20], who also showed experimental evidence that the internal friction angles decreased with increasing soil water content. Similarly, our study indicated that the internal friction angle both increased at first to the maximum value and then dropped when wet soil bulk density kept increasing.…”

Section: Discussionsupporting

confidence: 83%

“…The determination of soil shear strength through lab measurements is costly and time-consuming; therefore, efforts have been undertaken to study the relationships between different soil properties and soil shear strength [13]. Soil moisture content has been extensively reported as a significant contributor to soil shear strength due to its impact on cohesion and internal friction strength [14][15][16][17][18][19][20], while their relationship remained controversial across soil types and locations. In addition to soil moisture content, other soil physical parameters that affect the soil shear strength have been reported, including soil texture [18,21], density [14,15,17,[21][22][23], particle size distribution [24], soil particle properties and boundary conditions [25], vegetation and plant roots [26,27], and shear loading [19,28].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Estimation of Soil Shear Strength Indicators Using Soil Physical Properties of Paddy Soils in the Plastic State

et al. 2021

View full text Add to dashboard Cite

Saturated soil shear strength is a primary factor that reflects the driving resistance of agricultural machinery in paddy soils. The determination of soil shear strength indicators, such as cohesion and internal frictional angle, is crucial to improve the walking efficiency of agricultural machinery in paddy soils. However, the measurement of these indicators is often costly and time-consuming. Soil moisture content, density, and clay content are crucial factors that affect the cohesion and internal friction angle, while very limited studies have been performed to assess the interactive effects of the three factors on soil shear characteristics, especially on paddy soils. In this study, eight soil samples were taken from eight paddy fields in Southeastern China, and the central composition rotatable design was used to classify the soil samples into five levels based on different clay content (X1), moisture content (X2), and density (X3). The direct shear tests were carried out indoors on the remolded paddy soil using a self-made shear characteristic measuring device. Then, both individual and interactive effects of X1, X2, and X3 on soil cohesion and internal friction angles on paddy soils were systematically investigated and analyzed using the regression analysis method in the data processing software Design-Expert. Our results indicated that the effects of the three environmental factors on soil cohesion were in the order of X1 > X2 > X3, while the order was X2 > X3 > X1 for the impact on internal friction angle. The interactive effects were in the order of X1X2 > X1X3 > X2X3 for cohesion and X1X2 > X2X3 > X1X3 for internal friction angle. Two prediction models were successfully established to quantify the soil cohesion and internal friction angle as affected by soil physical properties, and the coefficient of determination (R2) was 0.91 and 0.89 for the two equations, respectively. The model validations using new soil samples suggested that the models were capable of predicting the shear characteristic parameters under different physical parameters effectively, with errors between predicted and measured soil shear strength indicators within 15% and relative root mean square error less than 11%.

show abstract

Section: Discussionsupporting

confidence: 84%

Section: Discussionsupporting

confidence: 83%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of Soil Shear Strength Indicators Using Soil Physical Properties of Paddy Soils in the Plastic State

et al. 2021

View full text Add to dashboard Cite

show abstract

“…SH is the intrinsic resistance against inter‐particle's sliding and mainly depends on soil cohesion and inter‐particle friction. It is reported highly related to soil erosion resistance (Zhang et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Temporal variation of soil erosion resistance on sloping farmland during the growth stages of maize (Zea mays L.)

Zheng

et al. 2021

Hydrological Processes

View full text Add to dashboard Cite

Maize growth has great effects on soil properties and thus likely induces the changes in soil erosion resistance on sloping farmland. However, temporal variation of soil erosion resistance during the growth stages of maize is still unclear in the mountainous yellow soil area where maize is the dominant crop. In this study, four maize plots (MP) and four bare land plots (CK) were conducted to investigate soil erosion resistance, and multiple indicators of soil erosion resistance were measured including the total soil antiscourability (TAS), mean weight diameter (MWD), soil erodibility K factor and soil shear strength (SH). A comprehensive soil erosion resistance index (CSERI) was employed to quantify the temporal variation of soil erosion resistance during the growth stages of maize (seedling stage, SS; jointing stage, JS; tasselling stage, TS; maturing stage, MS).The results showed that TAS, MWD, SH increased significantly with maize growth and SH decreased when at MS. But K factor decreased significantly over time. CSERI increased significantly during the growth stages of maize and the CSERI of JS, TS, MS increased on average by 74.72, 180.68 and 234.57% than that of SS. Compared to CK, CSERI of MP increased by 49.90, 66.82, 55.60 and 38.61% during the growth stages of maize. The temporal variation of soil erosion resistance was closely related to the changes in maize cover, maize roots and soil organic carbon. The findings demonstrated that it is necessary to consider the temporal variation of soil erosion resistance in the mountainous yellow soil area.

show abstract

“…Also, they proposed new equations for unsaturated soil by taking the relationship between the average skeleton stress and the suction over a wide suction range. Likewise, the effect of water content and fractal dimension on the SSS (for red soil in southern China) was evaluated by Zhang et al [6]. Zhai et al [7] used soil-water characteristic curve for estimating the SSS.…”

Section: Introductionmentioning

confidence: 99%

Computational modification of neural systems using a novel stochastic search scheme, namely evaporation rate-based water cycle algorithm: an application in geotechnical issues

Foong

Moayedi

Lyu

2020

Engineering with Computers

View full text Add to dashboard Cite

Recent studies have demonstrated the high efficiency of metaheuristic algorithms for various optimization engineering problems. The main focus of the present study is to apply a novel notion of stochastic search methods, namely evaporation rate-based water cycle algorithm (ER-WCA) to the problem of soil shear strength (SSS) prediction. The ER-WCA, as the name indicates, is a modified version of the water cycle algorithm that is used to computationally modify an artificial neural network (ANN) for the mentioned purpose. The sensitivity analysis showed that the most proper values for the number of rivers + sea and the population size are 5 and 300, respectively. The performance of the ER-WCA-ANN hybrid is compared to an ANN typically trained by the Levenberg-Marquardt algorithm to evaluate the effectiveness of the proposed metaheuristic technique. The findings showed that incorporation of the ER-WCA results in reducing the root-mean-square error by 5.87% and 4.92% in the training and testing phases, respectively. Meanwhile, the coefficient of determination rose from 84.27 to 86.11% and from 78.80 to 80.83% in these phases. It indicates that the weights and biases suggested by the ER-WCA can construct a considerably more reliable ANN. Therefore, the introduced method is recommended for practical uses in the early prediction of the SSS in civil engineering projects.

show abstract

Effects of fractal dimension and water content on the shear strength of red soil in the hilly granitic region of southern China

Cited by 36 publications

References 30 publications

Estimation of Soil Shear Strength Indicators Using Soil Physical Properties of Paddy Soils in the Plastic State

Estimation of Soil Shear Strength Indicators Using Soil Physical Properties of Paddy Soils in the Plastic State

Temporal variation of soil erosion resistance on sloping farmland during the growth stages of maize (Zea mays L.)

Computational modification of neural systems using a novel stochastic search scheme, namely evaporation rate-based water cycle algorithm: an application in geotechnical issues

Contact Info

Product

Resources

About