Anti-Analysis of the Release Rate of Displacements during the Tunnel Excavation
Guangxiang Mao, Yuanyou Xia, Lingwei Liu
Abstract
Guangxiang Mao, Yuanyou Xia, Lingwei Liu
Abstract
Because of geological conditions and complicated construction technology, it is important to ascertain the release rate of displacement of surrounding rock during the tunnel excavation, and one of the basic data must be determined firstly during the numerical simulation of excavation. Based on the rock mechanics and excavation process, combined with on-site monitoring of the displacement data, using the FLAC3D software to make numerical simulation and establish study examples, adopting the artificial neural network method to have the inverse analysis of the tunnel excavation and construction process, it is obtained that the release rate of displacement of surrounding rock under a reasonable construction time. It can provide the reference data for the tunnel design, construction and the numerical simulation analysis during construction under the similar conditions.
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Because of geological conditions and complicated construction technology, it is important to ascertain the release rate of displacement of surrounding rock during the tunnel excavation, and one of the basic data must be determined firstly during the numerical simulation of excavation. Based on the rock mechanics and excavation process, combined with on-site monitoring of the displacement data, using the FLAC3D software to make numerical simulation and establish study examples, adopting the artificial neural network method to have the inverse analysis of the tunnel excavation and construction process, it is obtained that the release rate of displacement of surrounding rock under a reasonable construction time. It can provide the reference data for the tunnel design, construction and the numerical simulation analysis during construction under the similar conditions.
Key concepts: Excavation, Displacement (psychology), Computer simulation, Process (computing), Geotechnical engineering, Numerical analysis, Engineering, Artificial neural network