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Erschienen in: Bulletin of Engineering Geology and the Environment 1/2019

25.07.2017 | Original Paper

Prediction of rock burst in underground caverns based on rough set and extensible comprehensive evaluation

verfasst von: Yiguo Xue, Zhiqiang Li, Shucai Li, Daohong Qiu, Yufan Tao, Lin Wang, Weimin Yang, Kai Zhang

Erschienen in: Bulletin of Engineering Geology and the Environment | Ausgabe 1/2019

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Abstract

In high terrestrial stress regions, rock burst is a major geological disaster influencing underground engineering construction significantly. How to carry out efficient and accurate rock burst prediction is still not resolved. In this paper, a new rock burst evaluation method based on rough set theory and extension theory is proposed. In the method the following seven indexes were selected as indices to evaluate and predict rock bursts: uniaxial compressive strength, ratio of rock strength to in situ stress, ratio of rock compressive strength to tensile strength, ratio of tangential stress and rock compressive strength, elastic strain energy index, depth of tunnel, and rock integrity. According to rough set theory, those indexes influencing rock bursts were investigated through attribute reduction operation to obtain four main influential indexes and the weight coefficients of each evaluation index were acquired by analysing the significance of conditional attribute. Thereafter, the main influential indexes and its weight were taken into the extension theory to predict the practical engineering. This method was applied to a practical case, underground caverns of Jiangbian hydropower station in China’s Sichuan province. It is proved that the evaluation results of the method were well consistent with real conditions.

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Metadaten
Titel
Prediction of rock burst in underground caverns based on rough set and extensible comprehensive evaluation
verfasst von
Yiguo Xue
Zhiqiang Li
Shucai Li
Daohong Qiu
Yufan Tao
Lin Wang
Weimin Yang
Kai Zhang
Publikationsdatum
25.07.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Bulletin of Engineering Geology and the Environment / Ausgabe 1/2019
Print ISSN: 1435-9529
Elektronische ISSN: 1435-9537
DOI
https://doi.org/10.1007/s10064-017-1117-1

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