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Research on Construction Mechanics Effect and Risk Assessment of the Shallow Bias Tunnel

Author: XiangYongJie
Tutor: LiuXinRong
School: Chongqing University
Course: Civil Engineering
Keywords: Shallow bias Bearer effect coefficient Construction mechanics Bayesian networks Risk model
CLC: U451
Type: Master's thesis
Year: 2011
Downloads: 82
Quote: 0
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Abstract


With the rapid development of the in-depth implementation of the western development strategy in China and highway transport undertakings , the construction of mountain highway tunnels showing brilliant situation . The number and type of tunnel construction is increasing, a growing number of technical problems encountered . In this paper, Shanxi Province, Xin Bao highway money drilling door tunnel engineering background , through theoretical analysis , field measurement , numerical simulation method of combining study and explore the effect of the bias of the shallow tunnel construction mechanics , and the risk of this type of tunnel construction for evaluation. The main work is as follows : the monitoring of the the typical shallow bias cross-section of the diamond money door tunnel measurement results analysis , pointed out , or because of the terrain bias makes about arch waist bias cross-section steel arch Shouli Bu phenomenon . ② With the finite element analysis software ANSYS establish different minimum overburden thickness , and 18 different surface slope , different geological conditions of surrounding rock in shallow bias tunnel model to study the conditions tunnel surrounding rock displacement field, stress field , initial support stress, secondary lining stress variation . ③ In the analysis of the principal stress space yield surface , with the yield the surface stress points of mutual relations on the basis proposed the concept of tunnel rock support effect coefficient , and derive self-supporting effect coefficient of tunnel surrounding rock formula based on the Drucker-Prager criteria obtained to determine the order in which the destruction of the surrounding rock rock support effect coefficient can be used to quantitatively determine the extent of the effect of the play of the tunnel rock support and wall rock hosted effect coefficient based on different parts of the different . ④ 18 Shallow bias tunnel excavation the example analysis proposed comprehensive judgment of the tunnel bias effect of the degree of tunnel surrounding rock bearing effect play tunnel stability . Example as a case of Bayesian network parameter learning , professional Bayesian software Netica establish the bias of the shallow tunnel construction risk analysis model , and design case probabilistic reasoning , the maximum possible explanation calculation and sensitivity analysis . The results showed that the risk analysis results of the model more in line with reality .

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CLC: > Transportation > Road transport > Tunnel project > Tunnel structure theory
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