Infrared radiation constitutive model of sandstone during loading fracture

Cao, Kewang; Dong, Furong; Ma, Liqiang; Khan, Naseer Muhammad; Alarifi, Saad S.; Hussain, Sajjad; Armaghani, Danial Jahed

doi:10.1016/j.infrared.2023.104755

Cited by 4 publications

(2 citation statements)

References 46 publications

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“…The advancement of detection technology has increasingly attracted scholars to apply it in rock mechanics engineering research. Techniques such as acoustic emission, infrared remote sensing, digital speckle, CT scanning, electron microscopy scanning, and others have all seen successful applications [1][2][3][4][5][6][7][8]. Acoustic emission involves using specialized equipment to monitor and record the sound waves produced by microcracks or displacement released internally in rocks due to stress concentration during loading.…”

Section: Introductionmentioning

confidence: 99%

Acoustic emission characteristic of sandstone and sandstone like material under multi-path loading

Zhuang,

Peng,

Zhao

et al. 2024

PLoS ONE

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Using spline interpolation to select proportions of similar materials, a comparative analysis of the fracturing behavior of sandstone specimens and similar material specimens was conducted through Brazilian splitting tests under multi-path loading. The study revealed that during stepwise loading, both sandstone and similar materials exhibited memory effects and plastic deformation. However, under constant velocity loading, the relationship between force and displacement in sandstone showed linearity after compaction. Employing MATLAB optimization algorithms for the inversion of acoustic emission event information, the distribution of fracture points, and the evolution of cracks were analyzed. The findings indicated that under stepwise loading, both sandstone and similar materials exhibited banded distribution of peak frequencies, with sandstone concentrated in the mid-low-frequency range and similar materials leaning towards the low-frequency range. The amplitude-frequency characteristics of acoustic emission signals suggested that initially, sandstone produced low-frequency, low-amplitude signals. As cracks developed, these signals gradually transformed into high-frequency, high-amplitude signals, ultimately leading to macroscopic failure. The ringing counts and b-values of sandstone displayed an approximate "W" shape distribution, with a subsequent decrease in b-values during final failure. In contrast, the acoustic emission counts were inversely related to b-values. Similar materials exhibited slightly more acoustic emission counts than sandstone, with relatively lower b-values. The crack development process of both sandstone and similar materials was confirmed through these observations. From the perspective of section initiation and local damage, sandstone and similar materials exhibited similar failure characteristics. The proportions of quartz sand: cement: water = 9:1:0.9 in similar materials demonstrated the most similar characteristics to sandstone in terms of mechanical loading, acoustic emission features, and failure morphology. This suggests that these similar materials can be used as substitutes for sandstone in analogous simulation experiments. The study provides theoretical support for understanding rock fracture mechanisms, offers guidance for the selection and proportioning of similar materials, and holds significance for predicting and controlling rock fracture behavior in engineering applications.

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Section: Introductionmentioning

confidence: 99%

Acoustic emission characteristic of sandstone and sandstone like material under multi-path loading

Zhuang,

Peng,

Zhao

et al. 2024

PLoS ONE

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“…IR radiation can be employed to capture this information and predict rock failure. The properties of IR undergo notable changes during rock deformation, sliding friction, fracture development, and dilatation under various loads, as demonstrated by a series of studies [53][54][55][56][57][58]. IR indices, such as infrared radiation variance (IRV) and average infrared radiation temperature (AIRT), may be used to indicate these variations in IR properties throughout the induced fracturing process [40,[42][43][44]59,60].…”

Section: Introductionmentioning

confidence: 99%

Predicting Sandstone Brittleness under Varying Water Conditions Using Infrared Radiation and Computational Techniques

Khan,

Ma,

Emad

et al. 2023

Water

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The brittleness index is one of the most integral parameters used in assessing rock bursts and catastrophic rock failures resulting from deep underground mining activities. Accurately predicting this parameter is crucial for effectively monitoring rock bursts, which can cause damage to miners and lead to the catastrophic failure of engineering structures. Therefore, developing a new brittleness index capable of effectively predicting rock bursts is essential for the safe and efficient execution of engineering projects. In this research study, a novel mathematical rock brittleness index is developed, utilizing factors such as crack initiation, crack damage, and peak stress for sandstones with varying water contents. Additionally, the brittleness index is compared with previous important brittleness indices (e.g., B1, B2, B3, and B4) predicted using infrared radiation (IR) characteristics, specifically the variance of infrared radiation temperature (VIRT), along with various artificial intelligent (AI) techniques such as k-nearest neighbor (KNN), extreme gradient boost (XGBoost), and random forest (RF), providing comprehensive insights for predicting rock bursts. The experimental and AI results revealed that: (1) crack initiation, elastic modulus, crack damage, and peak stress decrease with an increase in water content; (2) the brittleness indices such as B1, B3, and B4 show a positive linear exponential correlation, having a coefficient of determination of R2 = 0.88, while B2 shows a negative linear exponential correlation (R2 = 0.82) with water content. Furthermore, the proposed brittleness index shows a good linear correlation with B1, B3, and B4, with an R2 > 0.85, while it shows a poor negative linear correlation with B2, with an R2 = 0.61; (3) the RF model, developed for predicting the brittleness index, demonstrates superior performance when compared to other models, as indicated by the following performance parameters: R2 = 0.999, root mean square error (RMSE) = 0.383, mean square error (MSE) = 0.007, and mean absolute error (MAE) = 0.002. Consequently, RF stands as being recommended for accurate rock brittleness prediction. These research findings offer valuable insights and guidelines for effectively developing a brittleness index to assess the rock burst risks associated with rock engineering projects under water conditions.

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Quantitative characterization of constitutive model of mudstone under uniaxial loading after immersion in acid solution by infrared radiation

Ma,

Khan,

Cao

et al. 2023

Infrared Physics & Technology

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Infrared radiation constitutive model of sandstone during loading fracture

Cited by 4 publications

References 46 publications

Acoustic emission characteristic of sandstone and sandstone like material under multi-path loading

Acoustic emission characteristic of sandstone and sandstone like material under multi-path loading

Predicting Sandstone Brittleness under Varying Water Conditions Using Infrared Radiation and Computational Techniques

Quantitative characterization of constitutive model of mudstone under uniaxial loading after immersion in acid solution by infrared radiation

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