과제정보
연구 과제 주관 기관 : National Natural Science Foundation of China, Central Universities
참고문헌
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피인용 문헌
- Understanding Rockburst-Generating Behaviors and Associated Seismicity by Using a Spatial Calculation Methodology with an Energy Density Index vol.2018, pp.1563-5147, 2018, https://doi.org/10.1155/2018/6128368
- Numerical Research on Energy Evolution and Burst Behavior of Unloading Coal–Rock Composite Structures pp.1573-1529, 2018, https://doi.org/10.1007/s10706-018-0609-5
- Precursor of Spatio-temporal Evolution Law of MS and AE Activities for Rock Burst Warning in Steeply Inclined and Extremely Thick Coal Seams Under Caving Mining Conditions pp.1434-453X, 2019, https://doi.org/10.1007/s00603-018-1690-z
- Study on the feature of electromagnetic radiation under coal oxidation and temperature rise based on multi-fractal theory pp.1793-6543, 2019, https://doi.org/10.1142/S0218348X19500385
- Regularity and coupling correlation between acoustic emission and electromagnetic radiation during rock heating process vol.15, pp.5, 2018, https://doi.org/10.12989/gae.2018.15.5.1125
- Investigation of coal and gas outburst risk by microseismic monitoring vol.14, pp.5, 2019, https://doi.org/10.1371/journal.pone.0216464
- A stress model reflecting the effect of the friction angle on rockbursts in coal mines vol.18, pp.1, 2017, https://doi.org/10.12989/gae.2019.18.1.021
- The heterogeneity and electro-mechanical characteristics of coal at the micro- and nanoscale vol.16, pp.4, 2017, https://doi.org/10.1093/jge/gxz039
- GA-Based Early Warning Method for Rock Burst with Microseismic and Acoustic Emission in Steeply Inclined Coal Seam vol.2020, pp.None, 2020, https://doi.org/10.1155/2020/8865654
- A Modified Bursting Energy Index for Evaluating Coal Burst Proneness and Its Application in Ordos Coalfield, China vol.13, pp.7, 2017, https://doi.org/10.3390/en13071729
- High-density polyurethane rigid foam usability as liner support material in rock engineering vol.13, pp.11, 2017, https://doi.org/10.1007/s12517-020-05396-6
- Characteristics of electromagnetic radiation signal of coal and rock under uniaxial compression and its field application vol.129, pp.1, 2020, https://doi.org/10.1007/s12040-019-1309-0
- Electromagnetic radiation interference signal recognition in coal rock mining based on recurrent neural networks vol.86, pp.4, 2017, https://doi.org/10.1190/geo2020-0726.1