2022
DOI: 10.1007/s00603-022-03175-1
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Experimental Study on Deformation Failure Mechanism of Surrounding Rocks for the Deep-Buried Twin Tunnels in Inclined Layered Strata During the Excavation

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Cited by 13 publications
(2 citation statements)
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“…Qu et al 25 proposed a machine learning approach for reliability assessment, and Nie et al 26 integrated geological methods for water-rich granite identification. Finally, Shen et al 27 explored deformation mechanisms in twin tunnels. Xiang et al 28 investigate shallow tunnel deformation and failure mechanisms, emphasizing the influence of surrounding material strengths and challenging the applicability of the Peck formula.…”
Section: Introductionmentioning
confidence: 99%
“…Qu et al 25 proposed a machine learning approach for reliability assessment, and Nie et al 26 integrated geological methods for water-rich granite identification. Finally, Shen et al 27 explored deformation mechanisms in twin tunnels. Xiang et al 28 investigate shallow tunnel deformation and failure mechanisms, emphasizing the influence of surrounding material strengths and challenging the applicability of the Peck formula.…”
Section: Introductionmentioning
confidence: 99%
“…Numerous researchers have studied tunnels' deformation and mechanical properties in layered surrounding rock with high ground stress, mainly using model tests [10][11][12][13][14][15][16] and numerical simulations [17][18][19][20][21]. These methods are effective for investigating tunnels in layered surrounding rock because they have high repeatability, are low cost, and are less time-consuming [22].…”
Section: Introductionmentioning
confidence: 99%