A New Method to Assess Coal Burst Risks Using Dynamic and Static Loading Analysis

Wang, Changbin; Cao, Anye; Zhang, Chengguo; Canbulat, Ismet

doi:10.1007/s00603-019-01968-5

Cited by 40 publications

(15 citation statements)

References 30 publications

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“…Due to the differences in mining methods, fault structures, and other factors, there are various forms of island working face during coal mining, such as one sidewall mined out, two sidewalls mined out, three sidewalls mined out, and four sidewalls mined out (Li et al, 2015;He et al, 2017;Wang et al, 2020). The working face is impacted by the movement of the roof but also by the instability and failure of the overlying rocks above the sidewalls and the roof of the adjacent goafs.…”

Section: Conditions Of Adjacent Goafsmentioning

confidence: 99%

“…Cai et al (2015), Zhu et al (2016), and Chen et al (2021) investigated the relationship between the tomographic images of P wave velocity and coal burst hazard and believed that coal burst hazard could be detected by passive seismic velocity tomography during longwall face mining and entry excavation. Li et al (2015), He et al (2017), and Wang et al (2020) proposed a static and dynamic stresses superpositionbased risk evaluation method of coal burst to pre-evaluate coal burst risk. Ahmed et al (2017) proposed the Burst Potential Index (BPI) to estimate pillar burst tendency based on the energy storage rate (ESR).…”

Section: Introductionmentioning

confidence: 99%

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A Prediction Method of Coal Burst Based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation

Zhu

Han

2022

Front. Earth Sci.

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Coal burst has become a worldwide problem that needs to be solved urgently for the sake of coal mine safety production due to its complicated triggering mechanisms and numerous influencing factors. The risk assessment of coal burst disasters is particularly critical. In this work, 15 factors affecting coal burst occurrence are selected from the perspectives of geodynamic environment and geological and mining conditions, and the influence mechanism of each factor on coal bursts is analyzed. An evaluation index system of coal burst risk is put forward. A hierarchical model of coal burst prediction is established, and the weight of each influencing factor to coal burst risk is calculated. Based on the fuzzy comprehensive evaluation method, a coal burst prediction model is established, which can scientifically decompose and simplify the complicated problem and make coal burst prediction and prevention more pertinent and effective. The model is applied to assess the coal burst risk level of a coal mine in Shanxi Province, and the evaluation result is consistent with practical situations. This method considers the influencing factors comprehensively and determines the weight of each factor scientifically compared with other forecasting methods.

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Section: Conditions Of Adjacent Goafsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Prediction Method of Coal Burst Based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation

Zhu

Han

2022

Front. Earth Sci.

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“…Based on various source parameters, many seismic analysing methods for evaluating seismic risks have been developed. Prominent examples are the variation of event counts and seismic energy [ 7 , 8 , 9 , 10 , 11 ], seismic clustering [ 12 , 13 ], wave velocity tomography [ 14 , 15 , 16 ], and ground motion analysis [ 17 , 18 , 19 , 20 ], which obtained encouraging results in seismic hazard forecasting. However, because of the complicated monitoring environment, the performance of seismic analysing methods can be significantly limited by poor seismic data integrity.…”

Section: Introductionmentioning

confidence: 99%

Evolution Characteristics of Seismic Detection Probability in Underground Mines and Its Application for Assessing Seismic Risks—A Case Study

Cao

Gong

et al. 2022

Sensors

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Seismic hazards are typical mining hazards causing dynamic failure of coal and rock mass, which greatly threatens the safety of personnel and equipment. At present, various seismic analysis methods are used to assess seismic risks but their accuracy is significantly limited by the incompleteness of seismic data. The probability of detecting earthquakes (PDE) method has been proven as a powerful means for retrieving missed seismic events and enhancing the seismic data integrity in mines. However, to date, the reliability of the results of the PDE method has not been assessed and the highly integrated seismic data have not been linked with the actual hazard potential. To fill these gaps, this paper investigated the impacts of the seismic data volume used for calculation and the modification of the layout of sensors on the reliability and robustness of the PDE method. The event counts and seismic energy were compensated using the PDE method, correlated with strong seismic events. The results indicated that the compensated seismic data presented higher accuracy in locating future hazardous events than before. This research provides references on enhancing the performance of seismic analysing methods for seismic risk assessments.

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“…Jiang et al [37] studied the dynamic analysis method of rock burst risk of a longwall working face intersecting with fault. Cong et al [38,39] evaluated the increase of rock burst risk caused by dynamic load disturbance in the fault area through the vibration effect index. Li et al [40] studied the disaster mechanism and safe mining technology when the working face of deep well, thick topsoil, and thick bedrock is mined to the square position.…”

Section: Introductionmentioning

confidence: 99%

Rock Burst Mechanism under Coupling Action of Working Face Square and Regional Tectonic Stress

Zhu

Jiang

et al. 2021

Shock and Vibration

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With the development of faults in many coalfields, many large faults will form a relatively independent area, forming regional tectonic stress concentration. Under the influence of mining, it is easy to induce fault activation, produce mine tremor, and then induce rock burst. Through field investigation, theoretical analysis, numerical simulation, and engineering verification, the overburden movement model of No. 3504 working face square and fault activation in Liangbaosi Coal Mine was established. The stress variation and energy release law of working face advance and fault area were analyzed, and the mechanism of rock burst under the coupling action of working face square and regional tectonic stress was revealed. The results show that the regional stress adjustment and fault activation are caused by the large-scale overall movement of overburden during the working face square, and there is a peak value of elastic energy release during the fault activation, which is easy to produce large energy mine earthquake. The energy level of the daily maximum energy event is higher than that of the initial mining stage in the square period, and the location of on-site large energy microseismic event is basically consistent with the predicted fault strike. The study provides a theoretical basis for the prevention and control of rock burst during the working face square under the condition of regional tectonic stress.

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A New Method to Assess Coal Burst Risks Using Dynamic and Static Loading Analysis

Cited by 40 publications

References 30 publications

A Prediction Method of Coal Burst Based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation

A Prediction Method of Coal Burst Based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation

Evolution Characteristics of Seismic Detection Probability in Underground Mines and Its Application for Assessing Seismic Risks—A Case Study

Rock Burst Mechanism under Coupling Action of Working Face Square and Regional Tectonic Stress

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