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Issue title: Applications of intelligent & fuzzy theory in engineering technologies and applied science
Guest editors: Álvaro Rocha
Article type: Research Article
Authors: Ke, Wua; * | Wen, Zhangb | Haotian, Wub | Yajun, Wangb | Jinlong, Liuc
Affiliations: [a] School of Civil Engineering, Shandong University, Jinan Shandong, P.R. China | [b] Research Center of Geotechnical and Structural Engineering, Shandong University, Jinan Shandong, P.R. China | [c] Department of Civil Engineering, Hefei University, Hefei, P.R. China
Correspondence: [*] Corresponding author. Wu Ke, School of Civil Engineering, Shandong University, Jinan Shandong, P.R. China. Tel.: +86 136 4640 6623; E-mail: [email protected].
Abstract: With the development of metro, the construction of subway tunnel and station have to cross the crowded building group. For different crossing existing structures, such as undercrosing, upcrossing and side-crossing engineering, the adjecent existing structures would be influenced unavoidably. It is important for adjecnt existing structure that the deformations and stabilities of them are controlled during the metro construction. So, according to one side-crossing engineering project, based on numerical simulation and model test method, the deformation of support structures of metro station are studied, and the impact of station side-crossing on adjecent existing undergroud structures are discussed in different construction methods. Through those researches, it can be founded that the deformation law and stability of support structures are revealled and the the main influencing factors are expounded. At the same time, the internal force characteristics of support structures and incline deformation law are argumented and the contributing factors are analysed for different construction method, such as open excavation construction and cover excavation reverse construction.
Keywords: Metro station, side-crossing engineer, numerical simulation, model test, adjecent existiong structure
DOI: 10.3233/JIFS-169069
Journal: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 4, pp. 2291-2298, 2016
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