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Erschienen in: Bulletin of Engineering Geology and the Environment 6/2020

21.02.2020 | Original Paper

Evaluation model of surrounding rock stability based on fuzzy rock engineering systems (RES)-connection cloud

verfasst von: Yuxu Gao, Feng Gao, Keping Zhou

Erschienen in: Bulletin of Engineering Geology and the Environment | Ausgabe 6/2020

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Abstract

The factors affecting the stability of surrounding rock have fuzzy randomness, and their evaluation indicators not only show boundary ambiguity and interval discreteness but also have complex interactions. In order to reflect the distribution characteristics and interaction relationship of the indicators, and improve the accuracy of surrounding rock stability evaluation, a stability evaluation model of surrounding rock based on a fuzzy Rock Engineering Systems (RES)-connection cloud is proposed. The research showed that the introduction of linguistic hesitant fuzzy sets improves RES, resulting in experts’ compilation completely retained. Through cloud theory transformation, the subjectivity can be further weakened, and the credibility of indicator weight can be effectively improved. The two-dimensional cloud cause-effect map can reflect the indicator interaction relationship more intuitively and accurately. The joint state is found to be the most dominant parameter, and groundwater seepage is found to be the least dominant parameter. Furthermore, the connection cloud can overcome the defects of traditional cloud model which assumes the indictor follow normal distribution. Comparing the engineering application results with the matter-element extension method and the fuzzy set method, the feasibility of the present model is verified.

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Metadaten
Titel
Evaluation model of surrounding rock stability based on fuzzy rock engineering systems (RES)-connection cloud
verfasst von
Yuxu Gao
Feng Gao
Keping Zhou
Publikationsdatum
21.02.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Bulletin of Engineering Geology and the Environment / Ausgabe 6/2020
Print ISSN: 1435-9529
Elektronische ISSN: 1435-9537
DOI
https://doi.org/10.1007/s10064-020-01744-8

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