Correlation of Critical State Strength Properties with Particle Shape and Surface Fractal Dimension of Clinker Ash

Advances in Materials Science and Engineering

Liu³

et al. 2021

Malan loess in the middle and lower reaches of the Yellow River after mixed with different bentonite and HDTMA ratios was selected to carry out shear and consolidation tests for discussing the influence of bentonite-HDTMA on the mechanical property of loess lining material in landfills. Studies have shown that, after mixing 6% to 14% bentonite, the cohesive force of modified loess is significantly increased, the friction angle is reduced and remains stable, and the shear strength is improved. The compressibility of materials slightly decreases with the increase of bentonite ratio. The addition of 2%–4% HDTMA weakens the increment for the cohesive force caused by bentonite, but the friction angle is effectively recovered. The compressibility of materials increases with the increase of HDTMA ratio. As the dry density increases, the shear strength of the modified loess increases, and the compressibility coefficient decreases. The mechanical property of loess lining material can be optimized by adding 6%–14% bentonite. The incorporation of 2%–4% HDTMA does not have a significant negative impact on the optimization effect of bentonite. From the perspective of the mechanical property, it is recommended that the dry density of modified loess is 1.70 g/cm3, the bentonite ratio is 10%–14%, and the HDTMA ratio is 2%–4%.

Section: Discussionmentioning

confidence: 99%

Experimental Study on the Mechanical Property of Loess Mixed with Bentonite-HDTMA

Zhang

Advances in Materials Science and Engineering

Liu³

et al. 2021

“…e surface particles of sand can be regarded as a system, the effective information provided by the system data can be measured, and the weight can be determined by entropy. According to iconology theory [2], grayscale uses black tone to represent the object, black is used as the reference color, and black with different saturation is used to display the image. Each gray object has a brightness value from 0% (white) to 100% (black), and gray discontinuity appears at the edge of the object.…”

Section: Experimental Design Of Image Features Of Sand Core Based On Entropymentioning

confidence: 99%

“…e accuracy and efficiency of identification directly affect the progress of the project. At present, the core sample identification adopts engineers with rich geological survey experience to conduct artificial discrimination on its surface characteristics, such as low intelligence and strong subjective dependence, and it is not in line with the development requirements of national network power strategy for transformation and upgrading of the survey industry [1][2][3][4][5][6][7][8]. It is urgent to use computer technology to speed up the identification of core samples.…”

Section: Introductionmentioning

confidence: 99%

Study on the Influence of Sand Core Compactness on Surface Entropy considering Engineering Disturbance

Advances in Civil Engineering

et al. 2021

In order to explore the correlation between the compactness of sand core samples and its surface image features and to provide the basis for rapid identification and recognition of core samples in engineering investigation, a typical image data set of sand core samples disturbed by drilling construction in practical engineering has been established, using Python language to compile algorithm to calculate one-dimensional entropy and two-dimensional entropy of 60 groups of sand core samples with different densities. The influence of different sand core compactness on surface entropy characteristics was discussed, and the following conclusions were obtained: (1) Affected by drilling construction and disturbance, the looser the sand core surface particles are, the worse the sorting is and the more irregular the shape characteristics are. There is a close relationship between grain texture and compactness. (2) The calculation results of sand image entropy of one-dimensional entropy and two-dimensional entropy showed that the entropy value of loose, slightly dense, and medium dense sand images is positively correlated with the compactness of sand. (3) The maximum variance of two-dimensional entropy of loose, slightly dense, and medium dense sand image in the same borehole is less than 0.09, and the data variance amplification effect of two-dimensional entropy of image is mainly between different boreholes. (4) The dense feature of core sample structure forms an ordered structure with a gray change boundary, which increases the roughness of the image and leads to the increase of entropy. The two-dimensional entropy reveals the internal correlation mechanism of the influence of the engineering state on the surface structure of sand more clearly than the one-dimensional entropy and more effectively characterizes the dense degree of sand particles. (5) Using two-dimensional entropy to judge the compactness of sand image in the same borehole, the data fluctuation is small, and the algorithm is stable and reliable. The research results have reference values for the detection and analysis of sand sample density in geotechnical engineering investigation.

“…e grain size distribution curve of the sliding zone soil is demonstrated in Figure 2, showing a large number of coarse-grained groups in the sliding zone soil. Coarse-grained groups play an important role in mechanical behaviour [21][22][23]. In order to retain the coarsegrained components as much as possible and truly reflect the composition of sliding zone soil, a sample with 61.8 mm diameter and 125 mm height was chosen.…”

Section: Specimen Preparationmentioning

confidence: 99%

Effect of Prior Cyclic Loading on Triaxial Compression Strength of Sliding Zone Soil of the Huangtupo Landslide

Cui

Advances in Civil Engineering

et al. 2021

Earthquakes or cyclic loadings cause significant changes in the strength characteristics of soil. These changes, especially for sliding zone soil, can lead to catastrophic landslides. Taking into account this characteristic, this paper investigates the effects of prior cyclic loading on the consolidated undrained triaxial compression strength of sliding zone soil with the KTL triaxial automated system. Our experimental results indicate that the prior cyclic loading has a significant effect on the strength behaviour of saturated sliding zone soil. Under different confining pressures, cycle periods, and number of cycles, the samples exhibit the characteristics of strain-hardening. Deviatoric stress under cyclic loading condition is smaller than that with monotonic loading condition under different confining pressures, cycle periods, and number of cycles. As the confining pressure and cycle period increase, the failure stress ratio decreases. The axial strain exhibits a steep rise first and then stays stable under a cycle period of 90 s, while the axial strain shows a linear increase with an increase in the number of cycles under a cycle period of 10 s under confining pressures of 100 kPa and 400 kPa, respectively. The logarithmic relation correlates well with the failure stress ratio in the cyclic loading tests, which preliminary validates the applicability of logarithmic relation for sliding zone soil influenced by prior cyclic loading, providing a theoretical basis and guidance for the further understanding of strength characteristics of sliding zone soil.