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Key Factors Identification and Risk Assessment for the Stability of Deep Surrounding Rock in Coal Roadway

Bibliographic Data

ID15467634
AuthorsDongmei Huang (0000-0003-0180-9971, Shandong University of Science and Technology), Weijun Li (0000-0001-5622-6955, Shandong University of Science and Technology, corresponding author), Xikun Chang (0000-0003-4955-3098, Shandong University of Science and Technology, corresponding author), Yunliang Tan (0000-0001-5773-9760, Shandong University of Science and Technology)
Year2019
Volume16
Issue15
Pages2802-2802
Publication date2019-08-06
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph16152802
PMID31390793
OpenAlexW2965908946
LanguageEN
Citations received1
References cited25

In order to evaluate the stability of deep surrounding rock, all of the affecting factors should be theoretically identified. However, some factors have slight impacts on the stability of deep surrounding rock compared with others. To conduct an effective risk assessment, key factors should be first extracted. The analytic hierarchy process (AHP) and grey relation analysis (GRA) methods are integrated to determine the key factors. First, the AHP method is applied to sort the factors by calculating the weights of them. Seven out of fifteen factors are extracted as the key factors, which account for 80% of the weights. Further, the GCA method is used to validate the effects of these key factors by analyzing the correlation between the performance of each factor and that of the reference. Considering the influence of these key factors and experts' judgements, the multilevel fuzzy comprehensive evaluation method is adopted to obtain the risk level of the deep surrounding rock stability. Finally, the risk assessment of the deep surrounding rock in the E-Zhuang coal mine of Chinese Xinwen Mining Area illustrates the operability of the proposed method

Analytic hierarchy process · Business · Coal · Coal mining · Computer security · Data mining · Geotechnical engineering · Identification (biology · Key (lock · Machine learning · Mining engineering · Operability · Operations research · Risk analysis (engineering · Risk assessment · Rock mass classification · Stability (learning theory · Computer Science · Engineering · Geoscience and Mining Technology · Geotechnical Engineering and Analysis · Rock Mechanics and Modeling · Geology

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Unique citing works1
Citations per year0,14
Citation span2019 - 2019 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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