Soft Computing-Based Models for Predicting the Characteristic Impedance of Igneous Rock from Their Physico-mechanical Properties

Aladejare, Adeyemi Emman; Ozoji, Toochukwu; Lawal, Abiodun Ismail; Zhang, Zong-Xian

doi:10.1007/s00603-022-02836-5

Cited by 16 publications

(2 citation statements)

References 35 publications

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“…Since a muon telescope or monitor can be placed in a tunnel, an underground room and even a borehole, an online measurement can be realized. In addition, it is possible to estimate characteristic impedance of rocks using soft computing models (Aladejare et al 2022).…”

Section: Determination Of Characteristic Impedancementioning

confidence: 99%

Characteristic Impedance and Its Applications to Rock and Mining Engineering

et al. 2023

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The characteristic impedance of a rock is defined as the product of the sonic velocity and the density of the rock. Based on previous studies, this article finds that: (1) For an intact rock, its characteristic impedance is a comprehensive physical property, since it is closely related with strengths, fracture toughness, Young’s modulus, and Poisson’s ratio. (2) For rock masses, their characteristic impedances either increase markedly or slightly with increasing depth. (3) The bursts of intact rocks in laboratory are dependent on their characteristic impedances to a great extent, and strong rock bursts happen mostly in the rocks with large characteristic impedance. (4) Rock burst occurrence in tunnel and mines has a close relation with the characteristic impedances of the rocks. (5) Laboratory experiments on different rock samples show that seismic velocity increases as applied stress rises, and field monitored results from coal mines indicate that in the areas where rock bursts happened, the seismic velocity was increasing markedly before or during the bursts. (7) Drillability of rock depends on the characteristic impedance of the rock and the rock with larger impedance has lower drillability or lower penetration rate. (8) The potential applications of characteristic impedance include evaluation and classification of rock masses, and prediction of rock burst proneness and drillability.

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Section: Determination Of Characteristic Impedancementioning

confidence: 99%

Characteristic Impedance and Its Applications to Rock and Mining Engineering

et al. 2023

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“…The Pearson correlation coefficient (R) is a widely used statistical tool that measures the strength of the relationship between variables (Abubakar et al 2023;Aladejare et al 2022). Therefore, this coefficient is introduced here to analyze the correlation between rock mechanical properties and crack characteristics and is calculated as follows (Cai et al 2020): (Chen et al 2022;Su et al 2020;Zhao et al 2021).…”

Section: The Analysis Of Correlationsmentioning

confidence: 99%

Influence analysis of complex crack geometric parameters on mechanical properties of soft rock

Zhao,

He,

Jiang

et al. 2023

Int J Coal Sci Technol

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Soft rocks, such as coal, are affected by sedimentary effects, and the surrounding rock mass of underground coal mines is generally soft and rich in joints and cracks. A clear and deep understanding of the relationship between crack geometric parameters and rock mechanics properties in cracked rock is greatly important to the design of engineering rock mass structures. In this study, computed tomography (CT) scanning was used to extract the internal crack network of coal specimens. Based on the crack size and dominant crack number, the parameters of crack area, volume, length, width, and angle were statistically analyzed by different sampling thresholds. In addition, the Pearson correlation coefficients between the crack parameters and uniaxial compression rock mechanics properties (uniaxial compressive strength UCS, elasticity modulus E) were calculated to quantitatively analyze the impact of each parameter. Furthermore, a method based on Pearson coefficients was used to grade the correlation between crack geometric parameters and rock mechanical properties to determine threshold values. The results indicated that the UCS and E of the specimens changed with the varied internal crack structures of the specimens, the crack parameters of area, volume, length and width all showed negative correlations with UCS and E, and the dominant crack played an important role both in weakening strength and stiffness. The crack parameters of the angle are all positively correlated with the UCS and E. More crack statistics can significantly improve the correlation between the parameters of the crack angle and the rock mechanics properties, and the statistics of the geometric parameters of at least 16 cracks or the area larger than 5 mm2 are suggested for the analysis of complex cracked rock masses or physical reproduction using 3D printing. The results are validated and further analyzed with triaxial tests. The findings of this study have important reference value for future research regarding the accurate and efficient selection of a few cracks with a significant influence on the rock mechanical properties of surrounding rock mass structures in coal engineering.

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