Fractal analysis of the hierarchic structure of fossil coal surface

Alekseev, A. D.; Vasilenko, T. A.; Kirillov, A. K.

doi:10.1007/s10913-008-0013-2

Cited by 9 publications

(4 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Its special importance lies in the fact that it is capable to consider the behavior of a system not only in the period of measurements but also in its prehistory [16][17]. As an example in this direction, it is possible to note the studies with application of fractal analysis in geology [18], medicine [19], chemistry [20], physical sciences [21], computer graphics [22] and seismography [23]. However, they as a rule do not cover in detail the properties of the persistence of the obtained time series, determining the noisiness of the studied dependencies and the differences that are not clearly expressed in the application of the Hurst index from other statistical methods.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Designing the technology of express diagnostics of electric train's traction drive by means of fractal analysis

Бабанін

Bulba

2016

EEJET

View full text Add to dashboard Cite

show abstract

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Designing the technology of express diagnostics of electric train's traction drive by means of fractal analysis

Бабанін

Bulba

2016

EEJET

View full text Add to dashboard Cite

show abstract

“…However, Li 18 thought that the pore compression effect during the high-pressure mercury intrusion stage could not accurately obtain small pores through MIP, especially when the pressure is greater than 10 MPa. Based on coal surface images, Alekseev 19 used the box-counting method to obtain the surface heterogeneity and pore structure distribution characteristics. Through this fractal construction method, denoised grayscale images can be obtained, which can effectively distinguish between the pore and solid structures.…”

Section: Introductionmentioning

confidence: 99%

Study of the Microstructure of Coal at Different Temperatures and Quantitative Fractal Characterization

Huo

Wang

et al. 2023

ACS Omega

View full text Add to dashboard Cite

In order to understand the influence of underground coal fires on coal fractures and pores, mercury intrusion porosimetry (MIP) and scanning electron microscopy (SEM) are combined to study the development of coal pore and fracture under high-temperature treatment and calculate the fractal dimension to analyze the relationship between the development of coal pore and fracture and the fractal dimension. The results show that the volume of pores and fractures of the coal sample (C200) treated at 200 °C (0.1715 mL/g) is greater than that of the coal sample (C400) treated at 400 °C (0.1209 mL/g), and both are greater than the original coal sample (RC) (0.1135 mL/g). The volume increase is mainly due to mesopores and macropores, and the proportions of mesopores and macropores in C200 were 70.15 and 59.97% in C400. The MIP fractal dimension shows a decreasing trend with the increase of temperature, and the connectivity of coal samples improved with the increase of temperature. The changes in volume and three-dimensional fractal dimension of C200 and C400 showed the opposite trend and are related to the different stress of coal matrix at different temperatures. The experimental SEM images confirm that the connectivity of coal fractures and pores improves with the increase of temperature. Based on the SEM experiment, the larger the fractal dimension, the more complex the surface is. The SEM surface fractal dimensions indicate that the surface fractal dimension of C200 is the smallest and that of C400 is the largest, which is consistent with the observations made by SEM. The combination of the two fractal dimensions is used to characterize the self-similarity of coal using the fractal dimension difference. When the temperature increased to 200 °C, the unordered expansion of the coal sample resulted in the largest fractal dimension difference and the lowest self-similarity. When heated to 400 °C, the fractal dimension difference of the coal sample is the smallest, and the microstructure of coal shows a regular groove-like development.

show abstract

“…TDC is a kind of coal in which, under mono-or multiphase tectonic stress fields, its primary texture and structure is significantly destroyed [1]. To quantitatively characterize the solid-pore-fracture structure of TDCs, the fractal approach is widely used [2][3][4][5][6], which make it possible to identify characteristic scales of blocks of disturbed coal elements, to explain the occurrence and development of a cascade of defects in the process of loading rocks, to describe the change in the geometry of cracks in the process of rock deformation. However, the fractal approach is not entirely suitable for assessing the degree of coal disturbance because a spatial distribution of defects in TDCs is usually extremely heterogeneous.…”

Section: Introductionmentioning

confidence: 99%

Assessing the degree of coal tectonic disturbance by multifractal analysis of scanning electron microscopy images of coal specimen surfaces

Uchaev

Malinnikova

2022

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

The application of a multifractal approach to assessing the degree of coal disturbance is shown using a series of 2D model configurations of coals and scanning electron microscopy (SEM) images of coal specimen surfaces. For this, multifractal spectra, also called multifractal signatures, are used, which are suitable for a comprehensive description of the structural organization of the surface of coals with different degrees of disturbance. It is shown that maximum values of the multifractal signatures can be used to assess the degree of coal disturbance, and higher values of the parameters are obtained for coal specimens taken from more disturbed coal seams. As a result of the study, six coal disturbance classes have been identified, corresponding to the disturbance classes for model coal configurations generated for the following disturbance threshold values: 3/9, 4/9, 5/9, 6/9, 7/9 и 8/9.

show abstract

Fractal analysis of the hierarchic structure of fossil coal surface

Cited by 9 publications

References 5 publications

Designing the technology of express diagnostics of electric train's traction drive by means of fractal analysis

Designing the technology of express diagnostics of electric train's traction drive by means of fractal analysis

Study of the Microstructure of Coal at Different Temperatures and Quantitative Fractal Characterization

Assessing the degree of coal tectonic disturbance by multifractal analysis of scanning electron microscopy images of coal specimen surfaces

Contact Info

Product

Resources

About