scholarly journals PROPOSAL OF PREDICTION METHOD OF TUNNEL EXCAVATION BEHAVIOR IN GRAVEL GROUND BY NUMERICAL ANALYSIS

2020 ◽  
Vol 76 (1) ◽  
pp. 21-33
Author(s):  
Hisashi HAYASHI ◽  
Daisuke SAKAI ◽  
Yasuyuki OKAZAKI ◽  
Shingo MORIMOTO ◽  
Masato SHINJI
Keyword(s):  
Numerical Analysis ◽  
Prediction Method ◽  
Tunnel Excavation

Study on the Prediction Method of Tunnel Surrounding Rock Pressure Based on the Theory of Progressive Destruction

2012 ◽  
Vol 446-449 ◽  
pp. 1432-1436
Author(s):  
Suo Wang
Keyword(s):  
Rock Pressure ◽  
Characteristic Curve ◽  
Prediction Method ◽  
Surrounding Rock ◽  
Progressive Damage ◽  
Tunnel Excavation ◽  
Practical Engineering ◽  
Surrounding Rock Pressure ◽  
The Relationship ◽  
Rock Parameters

In order to predict tunnel surrounding rock pressure, this paper puts forward a series of dynamic numerical simulative model on the tunnel excavation. According to the change of rock damage in the construction program, it adjusts dynamically the mechanical material parameters of surrounding rock. So the model achieves the purpose which is controlling and simulating the process of tunnel progressive damage. In accordance with the numerical simulative results, it analyzes the relationship between the rock parameters with the plastic strain, radial displacement. Then this paper proposes a prediction method of tunnel surrounding rock pressure based on the theory of the progressive damage and method of characteristic curve. Finally, it compares the pressure on the numerical simulative models with on the site date, and it proves that the prediction method has practical engineering value.

3D Numerical Analysis of Soil Structure Interaction Behaviors of Pipe Jacking Construction

2012 ◽  
Vol 204-208 ◽  
pp. 534-538 ◽  
Author(s):  
Wen Tsung Liu ◽  
Xu Yan Lu
Keyword(s):  
Numerical Analysis ◽  
Soil Structure ◽  
Soil Improvement ◽  
Ground Movement ◽  
Science Park ◽  
Tunnel Excavation ◽  
Contraction Ratio ◽  
Pipe Jacking ◽  
Interaction Behaviors ◽  
Plaxis 3D

This study is analyzed by numerical analysis using finite element method program of Plaxis-3D Tunnel at Kaohsiung Science Park in Taiwan. It probes the risk of tunneling procedure adopting pipe jacking construction (PJC) with man–made excavation. The main parameters of numerical calculation in this research include advancement size, soil improvement ratio and void contraction ratio, etc. Those parameters are calculated to displacement and stress distribution and we get ground movement, settlement at crown and heave at invert of tunnel excavation to assess the security. This study finds that it is safe by excavation using PJC with man-made while the gap has to be less than 38mm. Actually, the gap is 100 ~ 150mm under PJC with man-made, and it will result in high risk. Therefore, the PJC with shield has more security than other methods through monitoring ground settlement.

Link prediction based on nonequilibrium cooperation effect

2018 ◽  
Vol 32 (11) ◽  
pp. 1850128 ◽  
Author(s):  
LanXi Li ◽  
XuZhen Zhu ◽  
Hui Tian
Keyword(s):  
Numerical Analysis ◽  
Theoretical Analysis ◽  
Complex Networks ◽  
Real World ◽  
Link Prediction ◽  
Prediction Method ◽  
Large Degree ◽  
Node Degree ◽  
Improve Accuracy

Link prediction in complex networks has become a common focus of many researchers. But most existing methods concentrate on neighbors, and rarely consider degree heterogeneity of two endpoints. Node degree represents the importance or status of endpoints. We describe the large-degree heterogeneity as the nonequilibrium between nodes. This nonequilibrium facilitates a stable cooperation between endpoints, so that two endpoints with large-degree heterogeneity tend to connect stably. We name such a phenomenon as the nonequilibrium cooperation effect. Therefore, this paper proposes a link prediction method based on the nonequilibrium cooperation effect to improve accuracy. Theoretical analysis will be processed in advance, and at the end, experiments will be performed in 12 real-world networks to compare the mainstream methods with our indices in the network through numerical analysis.

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