A new empirical chart for coal burst liability classification using Kriging method
Author:
Publisher
Springer Science and Business Media LLC
Subject
Metals and Alloys,General Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11771-023-5294-8.pdf
Reference46 articles.
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2. WANG Chun-lai, CAO Cong, LI Chang-feng, et al, Experimental investigation on synergetic prediction of granite rockburst using rock failure time and acoustic emission energy [J]. Journal of Central South University, 2022, 29(4): 1262–1273. DOI: https://doi.org/10.1007/s11771-022-4971-3.
3. WANG Shi-ming, ZHOU Jian, LI Chuan-qi, et al, Rockburst prediction in hard rock mines developing bagging and boosting tree-based ensemble techniques [J]. Journal of Central South University, 2021, 28(2): 527–542. DOI: https://doi.org/10.1007/s11771-021-4619-8.
4. CAO An-ye, DOU Lin-ming, WANG Chang-bin, et al, Microseismic precursory characteristics of rock burst hazard in mining areas near a large residual coal pillar: A case study from Xuzhuang Coal Mine, Xuzhou, China [J]. Rock Mechanics and Rock Engineering, 2016, 49(11): 4407–4422. DOI: https://doi.org/10.1007/s00603-016-1036-7.
5. WANG Gui-feng, GONG Si-yuan, LI Zhen-lei, et al, Evolution of stress concentration and energy release before rock bursts: Two case studies from Xingan coal mine, Hegang, China [J]. Rock Mechanics and Rock Engineering, 2016, 49(8): 3393–3401. DOI: https://doi.org/10.1007/s00603-015-0892-x.
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