Evidence map›Paper›PMID 40180997›Full record

ArticleScientific reports2025

Quantitative characterization of damage characteristics of coal using evaluation parameters considering the spatial structural characteristics of fractures.

Jin Yan, Xiaoming Ni, Erlei Su, Ruize Niu

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jin YanSchool of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, 454000, Henan, China.
Xiaoming NiSchool of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, 454000, Henan, China. nxm1979@126.com.
Erlei SuCollege of Safety Science and Engingeering, Henan Polytechnic University, Jiaozuo, 454000, Henan, China.
Ruize NiuSchool of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, 454000, Henan, China.

Funding

National Natural Science Foundation of China 42072189Shanxi Province science and technology major special plan "reveal the list" project 202101080301014
6 · The paper itself

Abstract

Stable underground tunnels and gas drainage boreholes are important guarantees for safe and efficient coal mining. The stability of these structures is closely related to the mechanical properties of coal and rock damage. Accurate quantification of coal and rock damage factors is a prerequisite for objective evaluation of damage mechanics. In order to study the relationship between coal and rock damage factors and fracture structure parameters in coal, the "CT scanning + Avizo image processing" method was used to reconstruct the three-dimensional spatial morphology of fractures in coal samples from the Yuwu Mine in Shanxi Province, China. The construction of a parameter system for evaluating the spatial structure of fractures represents the three-dimensional composition of fractures. Combined with uniaxial compression tests, a mathematical model for coal damage factors based on fracture spatial structure parameters was established, and the influence of fracture parameters on the mechanical properties of coal damage was discussed. The results show that fractal dimension, spatial attitude factor, and discreteness can respectively characterize the complexity of fracture morphology, the impact of fracture spatial angles on compressive strength, and the spatial discreteness of fractures; coal damage factors are positively correlated with porosity and spatial attitude factors, and negatively correlated with fracture fractal dimension and fracture discreteness. The mathematical model of coal rock damage factors established in this study has a correlation with experimental test values that is 0.3174 higher than that of traditional damage factor models, which can more objectively characterize the mechanical damage characteristics of coal rock. In summary, this study provides an efficient and accurate method for the quantitative characterization of coal body damage factors considering the characteristics of fracture space structure.

Indexed as

CT scanDamage factorFractal dimensionTopological structure

Identifiers

PMID40180997
PMCPMC11968910

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