Study on meso-mechanical behavior of sand based on its 2D geometrical model

Xu, Wenjie; Feng, Ze-Kang; Yang, Han; Liu, Guangyu

doi:10.1007/s11431-019-9598-2

Cited by 6 publications

(3 citation statements)

References 44 publications

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“…Particle size effect on particle strength agreed well with some literature work [29,46,47]. Lower characteristic stress and higher Weibull modulus were also found for relatively larger sized quartz particles by Coop [29], and the fitted equation for the quartz sand is also given in Figure 9d [29].…”

Section: Particle Strength Characteristics and Influencing Factorssupporting

confidence: 89%

Effect of Particle Size and Constraint Conditions on Single Particle Strength of Carbonate Sand

Cai

Gao

et al. 2022

Sensors

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Carbonate sand is often encountered and utilized as construction material in offshore engineering projects. Carbonate sand particles, which are porous and angular, are found to be highly crushable under high stress conditions, whereas the mechanisms and controlling factors for the crushing of carbonate sand particles are not well developed. The crushability and particle strength of around 400 particles from three fractions (5–10 mm, 2–5 mm, and 1–2 mm) of carbonate sand from the South China Sea were investigated via grain-scale single particle crushing tests. Special emphasis was placed on the effect of external constraint conditions (i.e., coordination number) and intrinsic particle morphology characteristics on the particle strength of carbonate soil. The particle strength of carbonate sand was found to be around half of quartz sand in terms of characteristic stress. Negative correlations, which could be depicted by an exponential equation, were found between the particle size and particle strength. Due to elongated particle shape and tensile stress concentration, a higher coordination number may lower the particle strength, which contradicts what was reported for quartz sands. A series of seven fundamental particle dimensions and five particle shape descriptors was characterized, and the aspect ratio was found to be one of the more influential shape descriptors for particle strength. The results enriched the database for the analysis of highly irregular geomaterial and provided insights into controlling factors of particle strength and crushing mechanisms of the carbonate sand.

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Section: Particle Strength Characteristics and Influencing Factorssupporting

confidence: 89%

Effect of Particle Size and Constraint Conditions on Single Particle Strength of Carbonate Sand

Cai

Gao

et al. 2022

Sensors

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“…In the eld of macro-and microgeotechnical mechanics, the shape of particles can affect the mechanical properties of sand [7,8]. Researchers have conducted DEM simulations [9][10][11][12] to study the macroscopic and microscopic mechanical behavior of sand particles, based on the true shape of the particles and the generation of angular particles [13][14][15]. The study of particle shape can be traced back to the beginning of the last century.…”

Section: Introductionmentioning

confidence: 99%

An improved corner dealiasing and recognition algorithm for 2D Wadell roundness computation

Chen,

Zhang,

Lin

et al. 2024

Preprint

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This paper optimizes the 2D Wadell roundness calculation of particles based on digital image processing methods. An algorithm of corner key points grouping is proposed to distinguish each independent corner. The cyclic midpoint filtering method is proposed for corner dealiasing. The relationships between the number of corner pixels (m), the central angle of the corner (α) and the parameter of the dealiasing degree (n) are established. The Krumbein chart and a sandstone thin section image were used as examples to calculate roundness. A set of regular shapes is calculated, and the error of this method is discussed. When α ≥ 30°, the maximum error in the Wadell roundness for regular shapes is 5.21%; when 12°≤α ≤ 30°, the minimum number of corner pixels required can be obtained according to the formula m0=15213α-1.628 to alleviate the increase in error. The results showed that the larger m is, the wider the optimal range interval for n; the larger α is, the lower the dependence on m.

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“…In the field of macro- and microgeotechnical mechanics, the shape of particles can affect the mechanical properties of sand 8 , 9 . Researchers have conducted the discrete element method (DEM) simulations to study the macroscopic and microscopic mechanical behavior of sand particles 10 – 15 , based on the true shape of the particles and the generation of angular particles 16 – 18 .…”

Section: Introductionmentioning

confidence: 99%

An improved corner dealiasing and recognition algorithm for 2D Wadell roundness computation

Chen,

Zhang,

Lin

et al. 2024

Sci Rep

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This paper optimizes the 2D Wadell roundness calculation of particles based on digital image processing methods. An algorithm for grouping corner key points is proposed to distinguish each independent corner. Additionally, the cyclic midpoint filtering method is introduced for corner dealiasing, aiming to mitigate aliasing issues effectively. The relationships between the number of corner pixels (m), the central angle of the corner (α) and the parameter of the dealiasing degree (n) are established. The Krumbein chart and a sandstone thin section image were used as examples to calculate the 2D Wadell roundness. A set of regular shapes is calculated, and the error of this method is discussed. When α ≥ 30°, the maximum error of Wadell roundness for regular shapes is 5.21%; when 12° ≤ α < 30°, the maximum error increases. By applying interpolation to increase the corner pixels to the minimum number (m0) within the allowable range of error, based on the α-m0 relational expression obtained in this study, the error of the corner circle can be minimized. The results indicate that as the value of m increases, the optimal range interval for n also widens. Additionally, a higher value of α leads to a lower dependence on m. The study's results can be applied to dealiasing and shape analysis of complex closed contours.

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Study on meso-mechanical behavior of sand based on its 2D geometrical model

Cited by 6 publications

References 44 publications

Effect of Particle Size and Constraint Conditions on Single Particle Strength of Carbonate Sand

Effect of Particle Size and Constraint Conditions on Single Particle Strength of Carbonate Sand

An improved corner dealiasing and recognition algorithm for 2D Wadell roundness computation

An improved corner dealiasing and recognition algorithm for 2D Wadell roundness computation

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