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Erschienen in: Geotechnical and Geological Engineering 5/2020

11.04.2020 | Original Paper

Treatment Effect Analysis on Shallow Buried Bias Slope Section of Tunnel Based on Fuzzy Comprehensive Evaluation

verfasst von: Zhengjun Mao, Ning An, Ruting Li, Licheng Xu, Hao Wu

Erschienen in: Geotechnical and Geological Engineering | Ausgabe 5/2020

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Abstract

There is a close interaction relationship between tunnel unsymmetrical loading section and lateral slope, and tunnels and lateral slope should be analyzed synthetically as a synergetic system, thus providing more accurate theoretical basis for taking reasonable and protective measures in practical engineering. This paper is based on treatment project of shallow buried bias section slope of the Niubi Mountain tunnel. Considering the synergetic effect of tunnel and slope, the tunnel engineering index was added into the index system, and the evaluation model system for the treatment effect of shallow buried bias slope section of tunnels was established. According to the index system, the fuzzy comprehensive evaluation model for treatment effect of shallow buried bias slope section of tunnel is established by analytic hierarchy process. The model for fuzzy comprehensive evaluation is used to evaluate the treatment effect of Shallow Buried Bias Slope Section of Niubi Mountain Tunnel and five other similar cases. The evaluation results are consistent with the actual engineering results. Supported by a limited number of samples, the practicability of the proposed model is proved. The model of fuzzy comprehensive evaluation of treatment effect of shallow buried bias slope section of tunnel can be used in similar projects. It can help engineers make decisions during construction.

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Metadaten
Titel
Treatment Effect Analysis on Shallow Buried Bias Slope Section of Tunnel Based on Fuzzy Comprehensive Evaluation
verfasst von
Zhengjun Mao
Ning An
Ruting Li
Licheng Xu
Hao Wu
Publikationsdatum
11.04.2020
Verlag
Springer International Publishing
Erschienen in
Geotechnical and Geological Engineering / Ausgabe 5/2020
Print ISSN: 0960-3182
Elektronische ISSN: 1573-1529
DOI
https://doi.org/10.1007/s10706-020-01302-9

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