A review of investigations on ground support requirements in coal burst-prone mines

Wei, Chunchen; Zhang, Chengguo; Canbulat, Ismet; Song, Zhengyang; Dai, Lianpeng

doi:10.1007/s40789-022-00485-1

Cited by 23 publications

(6 citation statements)

References 73 publications

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“…Because the energy absorption process varies amongst yielding rockbolts, they may be divided into four categories: ploughing, friction, structural extrusion, and bar stretching. For instance, energy absorption during ploughing occurs as a result of ploughing an element, such as a cone at the end of a cone bolt, through the grout (Wei et al 2022).…”

Section: Rockburst Controlling Techniquesmentioning

confidence: 99%

A review of rockbursts associated with block caving

Liu¹,

Zhang²,

Canbulat³

et al. 2022

Caving 2022: Fifth International Conference on Block and Sublevel Caving

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Block caving is one of the most cost-competitive underground mining methods available today owing to its low cost and mining efficiency in the application of low-grade and high-volume mineral extraction such as copper and gold. Given that resources are increasingly being discovered at greater depths throughout the world, the combination of stress concentration resulting from the depth of cover, complicated geotechnical conditions such as geological structures, and disturbance caused by mining activities makes rockburst a challenging geotechnical problem. When a rockburst occurs, the release of a sudden amount of radiated seismic energy may cause rock fragments to eject from the excavation vicinity and may have a significant impact on the safety and productivity of mining. The purpose of this paper is to provide a review of the state-of-the-art in the area of rockbursts associated with block caving covering various contributing factors and rockburst mechanisms based on existing cases. With an increasing understanding of contributing factors, failure modes and mechanisms behind rockbursts associated with block caving, prediction and prevention of mining-induced rockburst can be improved in the future.

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Section: Rockburst Controlling Techniquesmentioning

confidence: 99%

A review of rockbursts associated with block caving

Liu¹,

Zhang²,

Canbulat³

et al. 2022

Caving 2022: Fifth International Conference on Block and Sublevel Caving

Self Cite

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“…Deep mining faces dynamical disasters, such as rockburst, coal bump, mine earthquake, large-scale destabilization of the goaf, roof collapses, water surges, and so on. Many scholars (Feng et al 2017;Shukla et al 2021;Ke et al 2021;Zhou et al 2021b; Kishore and Khandelwal 2022;Chen and Zhou 2023;He et al 2023;Qiu and Zhou 2023;Jiang et al 2017a, b;Wang et al 2023;Wei et al 2022;) have researched rockburst, coal bump and mine earthquake, and have achieved encouraging results. However, in English, rockburst and coal bump have different names.…”

Section: Introductionmentioning

confidence: 99%

Occurrence mechanism and prevention technology of rockburst, coal bump and mine earthquake in deep mining

Du,

Bi,

Khandelwal

et al. 2024

Geomech. Geophys. Geo-energ. Geo-resour.

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Rockburst, coal bump, and mine earthquake are the most important dynamic disaster phenomena in deep mining. This paper summarizes the differences and connections between rockburst, coal bumps and mine earthquakes in terms of definition, mechanism, phenomenon, evaluation index, etc. The definition and evolution progress of the three disaster categories are summarized, as well as the monitoring, early warning, and prevention measures are also presented. Firstly, by combining theoretical research with specific technologies and engineering field cases, the main categories and failure mechanisms of rockburst, coal bumps and mine earthquakes are introduced. Then, the evaluation indexes of coal bump and mine earthquake are summarized, and a new evaluation index of rockburst is given. Finally, the characteristics of monitoring, early warning technologies and prevention methods of rockburst, coal bumps, and mine earthquakes are discussed in technology and application. At last, the future directions of rockburst, coal bump and mine earthquake are put forward.

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“…Furthermore, the above studies primarily proposed indices in dry rock and did not consider the water content. The literature shows that the brittleness of the rock significantly decreases with an increase in water content from 5 to 17% [6,[24][25][26][27][28][29][30][31][32][33] due to the reduction in the elastic modulus, strength, crack initiation, and crack damage [34].…”

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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A review of investigations on ground support requirements in coal burst-prone mines

Cited by 23 publications

References 73 publications

A review of rockbursts associated with block caving

A review of rockbursts associated with block caving

Occurrence mechanism and prevention technology of rockburst, coal bump and mine earthquake in deep mining

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

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