Rock Brittleness Evaluation Index Based on Ultimate Elastic Strain Energy

Zhang, Xiaowu; Xu, Jianhui; Shaikh, Faiz; Sun, Lingyan; Cao, Yue

doi:10.3390/pr10071367

Cited by 5 publications

(4 citation statements)

References 32 publications

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“…The burst propensity, an intrinsic characteristic of coal and rock mass itself, is a key internal factor that contributes to rock burst events. There are four commonly used burst propensity indexes in China, including the uniaxial compressive strength, elastic strain energy index, bursting energy index, and duration of dynamic fracture [30][31][32][33][34][35][36][37].…”

Section: Burst Propensitymentioning

confidence: 99%

“…where P is the maximum load, N; A is the compressed surface area, m 2 . The elastic strain energy index (W ET ) is defined as the ratio of the accumulated elastic strain energy to the consumed plastic strain energy when the sample is unloaded after being loaded to 75∼85% of its uniaxial compressive strength [32][33][34], as shown in Figure 5b. The calculation method is as follows:…”

Section: Burst Propensitymentioning

confidence: 99%

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Study of the Multilevel Fuzzy Comprehensive Evaluation of Rock Burst Risk

Liu,

Ouyang,

et al. 2023

Sustainability

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Rock burst is a multifaceted phenomenon that involves various intricate factors. A precise evaluation of its risk encounters numerous challenges. To address this issue, the present paper proposed a multilevel fuzzy comprehensive evaluation model based on the Analytic Hierarchy Process–Fuzzy Comprehensive Evaluation (AHP-FCE) method. Three primary influencing factors and twelve secondary influencing factors that impact the rock burst risk were identified. The mechanisms by which each influencing factor affects the rock burst were analyzed and the membership degree for each factor was calculated accordingly. The weight of each influencing factor was determined through the AHP. To obtain a quantitative evaluation result, the evaluation model was calculated using the second-order fuzzy mathematics calculation method. The application of the model was demonstrated on the 310 working face of the Tingnan Coal Mine, and the evaluation results were consistent with those achieved through the use of the comprehensive index method and the probability index method. All of the results exhibited consistent alignment with the actual circumstances. The verification process confirmed the scientific, effective, and practical nature of the model.

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Section: Burst Propensitymentioning

confidence: 99%

Section: Burst Propensitymentioning

confidence: 99%

Study of the Multilevel Fuzzy Comprehensive Evaluation of Rock Burst Risk

Liu,

Ouyang,

et al. 2023

Sustainability

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“…The elastic strain energy index (W ET ) is defined as the ratio of the accumulated elastic strain energy to the consumed plastic strain energy when the coal sample is completely unloaded after being loaded to 70%-80% of the UCS during the uniaxial compression process. [22][23][24] The greater the index, the stronger the burst proneness of coal. According to the stress-stain curve, it can be calculated as:…”

Section: Burst Proneness Indexesmentioning

confidence: 99%

Study on the evolutionary characteristics of coal burst proneness under the action of multiple mining disturbances

Liu,

Ouyang,

et al. 2023

Energy Science & Engineering

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Coal burst is a serious hazard in deep coal mining. To investigate the coal burst proneness evolution during multiple mining disturbances (MMD), this paper implemented a range of uniaxial cyclic loading–unloading tests coupled with acoustic emission (AE) measurement to simulate the loading–unloading effects of the MMD. The maximum load was used to simulate the highest load that the coal has endured in history, the loading–unloading rate was used to simulate the mining speed, and the loading–unloading cycles were used to simulate the number of mining disturbances. Finally, the burst proneness indexes of the damaged coal sample are measured and compared with the origin coal sample. Analysis on the experiment results suggest that, the burst proneness increases when the maximum load is 30% of the uniaxial compressive strength (UCS), interestingly, when the low loading–unloading rate is applied, 50% of the UCS enlarge the burst proneness as well. However, it decreases when the maximum load is 70% of the UCS. Sensitivity analysis indicates that the maximum load, loading–unloading rate, and loading–unloading cycles exhibit decreasing influence sensitivity to the elastic modulus, as well as to the UCS and duration of dynamic fracture. Similarly, the influence sensitivity of maximum load, loading–unloading cycles, and loading–unloading rate to the elastic strain energy index decreases, as well as to the bursting energy index. To ensure the safety of coal mining, it is crucial to avoid the disturbances that would put the coal under low loading and low loading rate.

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“…The energy-based definition of rock brittleness focuses on quantifying the fracture energy or the energy required to propagate cracks within rocks [19][20][21][22]. This approach considers the relationship between the energy dissipated during fracture and the rock's brittleness characteristics.…”

Section: (D) Definition Of Brittleness Index Based On Energymentioning

confidence: 99%

Evaluation Method for Determining Rock Brittleness in Consideration of Plastic Deformation in Pre-Peak and Failure Energy in Post-Peak

Yue,

Wen,

Gao

et al. 2023

Applied Sciences

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The assessment of rock brittleness holds significant importance for understanding and predicting the mechanical properties and engineering behavior of rocks. Due to the lack of a unified definition of rock brittleness, numerous evaluation methods for brittleness indexes have been proposed by scholars both domestically and internationally in recent decades, resulting in diverse evaluation outcomes. In this study, we first summarize the existing rock brittleness evaluation methods and highlight their respective advantages and disadvantages. Subsequently, considering the pre-peak plastic deformation of the rock mass, the pre-peak brittleness index factor is introduced. Furthermore, taking into account the total energy consumed by the rock mass for failure after the peak, the post-peak brittleness index factor is proposed. These two components of the brittleness index describe the characteristics of different stages of the stress-strain curve, leading to the development of a novel brittleness index. The proposed method is then applied to evaluate the brittleness of both red-bed sandstone and cyan sandstone, revealing the variation of rock brittleness under different working conditions. Finally, three existing evaluation methods are selected to validate the rationality of the proposed method. The results demonstrate that for red-bed sandstone, the proposed brittleness index exhibits maximum values under natural conditions at all confining pressures. The four brittleness indexes consistently characterize the brittleness of red-bed sandstone under natural conditions. Under saturated conditions, the brittleness indexes exhibit different patterns of variation. For cyan sandstone, the three brittleness indexes—B7, B9, and Bnew—exhibit a similar trend in characterizing the brittleness of cyan sandstone under natural conditions and freezing-thawing conditions, while the trend of B17 is essentially opposite to that of the previous three indexes. The research findings provide guidance for the assessment of sandstone brittleness.

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Rock Brittleness Evaluation Index Based on Ultimate Elastic Strain Energy

Cited by 5 publications

References 32 publications

Study of the Multilevel Fuzzy Comprehensive Evaluation of Rock Burst Risk

Study of the Multilevel Fuzzy Comprehensive Evaluation of Rock Burst Risk

Study on the evolutionary characteristics of coal burst proneness under the action of multiple mining disturbances

Evaluation Method for Determining Rock Brittleness in Consideration of Plastic Deformation in Pre-Peak and Failure Energy in Post-Peak

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