Failure mechanism and control of the coal bursts triggered by mining-induced seismicity: a case study

Cao, Jinrong; Li, Dou; Konietzky, Heinz; Zhou, Kunyou; Zhang, Min

doi:10.1007/s12665-023-10856-9

Cited by 13 publications

(8 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Using UDEC to study the damage and failure process of surrounding rock is feasible and reasonable [35,36]. To analyze the development process of crack damage in the roadway surrounding rock affected by mining tremor and the deformation of the roadway under multiple dynamic loads when weakening zone was formed, the numerical model was built (Figure 9).…”

Section: Numerical Modeling Of Roadway Damage Under Mining Tremormentioning

confidence: 99%

“…The Mohr-Coulomb failure used together with the Coulomb-slip model in the joints. The rock mechanic of each modeled rock mass are from reference [36], as shown in Table 1. We fixed both model sides against the horizontal boundary displacement and blocked bottom boundary vertical displacement.…”

Section: Numerical Modeling Of Roadway Damage Under Mining Tremormentioning

confidence: 99%

“…The Mohr-Coulomb failure criterion was used together with the Coulomb-slip model in the joints. The rock mechanical parameters of each modeled rock mass are from reference [36], as shown in Table 1. The "cable" element represented the rock bolts and cable bolts, and the "beam" element represented the steel beam.…”

Section: Numerical Modeling Of Roadway Damage Under Mining Tremormentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Seismic Mitigation Effect of Overlying Weakening Strata in Underground Coal Mines

et al. 2023

View full text Add to dashboard Cite

Artificial construction of a weakening zone over the roadway is an essential method for preventing coal bursts and rock bursts caused by strong mining tremors. However, concerning the seismic absorption and load reduction capabilities of an artificial structural weakening zone, the degree of rock mass damage to the roadway under weakening zone protection remains unclear. This study employed principles of elasticity and UDEC (Universal Distinct Element Code) to explore the seismic attenuation and load reduction capabilities of the weakening zone. The results indicate that the absorbing ability of the weakening zone increases exponentially with its weakening coefficient. Under the same dynamic load disturbance, when the weakening coefficient rises from 0.00 to 0.99, the sidewall displacement from the elastic wave source side changes from 0.400 m to 0.228 m. The total number of cracks in the roadway-surrounding rock, and the ranges of overstressed zones decreased linearly. The critical threshold of the roadway resisting the mining tremor disturbance increased. In particular, when the mining tremor is located directly above the roadway, the initial deformation of the roof is the largest, and the cumulative deformation of the rib is greater than the roof. By creating a weakening zone with a coefficient exceeding 0.95, the roadway remains unaffected by the 20 MPa dynamic loading. The study provides a theoretical basis for controlling coal burst that is triggered by mining tremors.

show abstract

Section: Numerical Modeling Of Roadway Damage Under Mining Tremormentioning

confidence: 99%

Section: Numerical Modeling Of Roadway Damage Under Mining Tremormentioning

confidence: 99%

Section: Numerical Modeling Of Roadway Damage Under Mining Tremormentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Seismic Mitigation Effect of Overlying Weakening Strata in Underground Coal Mines

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The geodynamic disasters induced by human beings during the construction of deep underground space utilization and deep mineral resource mining have been the focus of global research for nearly a hundred years (Borisov et al 2019). Rock bursts and mining-induced seismicity are typical geodynamic disasters, often causing severe damage to shafts and roadways and heavy casualties (Cao et al 2023;Cheng et al 2023). Rock bursts have occurred in coal mines in over 20 large coal mining countries, including South Africa, Germany, Canada, Russia, and Australia (Wu et al 2022).…”

Section: Introductionmentioning

confidence: 99%

Study on deep learning methods for rockburst risk prediction based on mining-induced seismicity quantification

Cheng

Qiao

2023

Preprint

View full text Add to dashboard Cite

The assessment of rockburst risk (RBR) is the premise of rockburst prevention and control. It is the implementation criterion to guide various rockburst prevention and control measures. The existing static prediction and evaluation methods for RBR cannot be effectively combined with the results of underground dynamic monitoring. This study proposed a mining-induced seismicity information quantification method based on the fractal theory. Deep learning methods are used to construct a deep learning framework of rockburst risk (DLFR) based on the fractal dimension of microseismic information. Gray correlation analysis (GRA), information gain ratio (IGR), and Pearson correlation coefficient are used to screen and compare factors. Statistical evaluation indicators such as macro-F1, accuracy rate, and fitness curve were used to evaluate model performance. Taking Gaojiapu Coal Mine in the Binchang mining area as a case study, the performance of deep learning models such as BP Neural Network (BP), Support Vector Machine (SVM) and its optimized model based on particle swarm optimization (PSO) algorithm under this framework is discussed. The reliability and validity of the research results to verify by comparing the predicted results with the actual results. The research results show that the prediction results of RBR in DLFR are consistent with the actual results, and the model is reliable and effective. The mining-induced seismicity quantification can solve the problem of insufficient training samples for the RBR. With this, different pressure relief measures can be formulated based on the results of the RBR predictions to achieve "graded" precise prevention and control.

show abstract

Fault quasi-static and dynamic ruptures in deep coal mining: impacts on working faces

2024

Bull Eng Geol Environ

View full text Add to dashboard Cite

Failure mechanism and control of the coal bursts triggered by mining-induced seismicity: a case study

Cited by 13 publications

References 54 publications

Seismic Mitigation Effect of Overlying Weakening Strata in Underground Coal Mines

Seismic Mitigation Effect of Overlying Weakening Strata in Underground Coal Mines

Study on deep learning methods for rockburst risk prediction based on mining-induced seismicity quantification

Fault quasi-static and dynamic ruptures in deep coal mining: impacts on working faces

Contact Info

Product

Resources

About