2021
DOI: 10.1016/j.tust.2021.103884
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Study on an improved real-time monitoring and fusion prewarning method for water inrush in tunnels

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Cited by 52 publications
(17 citation statements)
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“…The grouting thickness is 5~8 m, the grouting length is 15~18 m (3~3.6 times the thickness), and the grouting amount per meter is 34.2 m 3 . Wang et al [11] proposed a new method of real-time monitoring and fusion early warning of tunnel water inrush. Zhu et al [12] proposed a fuzzy comprehensive evaluation method for water inrush risk of tunnel water rich fault based on grey theory.…”
Section: Introductionmentioning
confidence: 99%
“…The grouting thickness is 5~8 m, the grouting length is 15~18 m (3~3.6 times the thickness), and the grouting amount per meter is 34.2 m 3 . Wang et al [11] proposed a new method of real-time monitoring and fusion early warning of tunnel water inrush. Zhu et al [12] proposed a fuzzy comprehensive evaluation method for water inrush risk of tunnel water rich fault based on grey theory.…”
Section: Introductionmentioning
confidence: 99%
“…Wang et al studied an improved method for the accurate measurement of sensors and wireless transmission bands suitable for complex tunnel environments. [18]. Hou et al presented a method for sensing tunnel cross-section deformation based on distributed fiber optic sensing and a neural network [19].…”
Section: Introductionmentioning
confidence: 99%
“…Liu et al (2019) conducted seismic ahead prospecting to detect the fractured and karst zones and then applied resistivity ahead prospecting to investigate the water-bearing condition of the fractured and karst zones in limestone strata of Jilin Yinsong TBM project (China). Wang et al (2021) presented a real-time water inrush monitoring system using the accurate measurement of sensors and wireless transmission bands and developed an early warning method for multi-information interval fusion on the basis of evidence and fuzzy set theory to achieve the fusion of the time series monitoring data. Li.…”
Section: Introductionmentioning
confidence: 99%