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Fuzzy Measure Method Of Analysis For Rockmass Displacement Caused By Shallow Tunnelling

Posted on:2015-09-17Degree:MasterType:Thesis
Country:ChinaCandidate:S J LiuFull Text:PDF
GTID:2272330422970002Subject:Geotechnical engineering
Abstract/Summary:PDF Full Text Request
Aiming at the analysis of ground movement due to the excavation of shallow tunnel inmountain areas, this paper will study it by the fuzzy measure method, and use MATLAB asa platform for the numerical calculation. This study choose Han Jia Zhuang tunnel projectas the object to predict the ground movement of different geological sections. For theparameters involved in the theoretical model,this paper will use artificial neural networkmethod to determine it.By using the fuzzy neural network method, analysis results are obtained as follows:(1)surface displacement and deformation due to the tunnel excavation in mountain areas has aobvious asymmetry:(2) Tunnel’s buried depth is inversely proportional to the surfacemaximum subsidence, and with the increase of buried depth, the effects of excavation to themaximum surface subsidence will be ruduced;(3) The change of the surface slope has littleinfluence on maximum subsidence value due to excvation;(4) Tunnel’s span is proportionalto the maximum surface subsidence, and with the increase of the span, the effects ofexcavation to the maximum surface subsidence will be more sensitive.To the Han Jia Zhuang tunnel project, this paper also used the finite element method toanalysis the ground movement due to tunnel excavation. In order to make the resultsobtained by different method can verify each other, the numerical simulation results, fuzzymeasure model results and the measured data are puted together to have a contrast.Comparative consequrnce shows that the results of fuzzy measure model was basicallyidentical with the measured results. This provides a new method—fuzzy neural networkmethod (FMANN) for the prediction of surface subsidence which caused by shallowtunnel’s excavation in the mountain areas. Theoretical analysis shows that the maximumsubsidence value predicted by Ansys was basically in agreement with the measuredmaximum subsidence value, but the distribution of the subsidence curve is different with themeasured values which mainly manifested in the boundary effect is not in accord with the practical engineering.But by using the fuzzy measure model,this problem can be solved.
Keywords/Search Tags:shallow tunnel in mountain areas, ground movement and deformation, fuzzy measure method, artificial neural network, Ansys
PDF Full Text Request
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