Tunnel Back Analysis Based on Differential Evolution Using Stress and Displacement

被引:8
作者
An, Joon-Sang [1 ]
Kang, Kyung-Nam [1 ]
Choi, Ju-Young [1 ]
Sung, Won-Suh [1 ]
Suy, Vathna [1 ]
Song, Ki-Il [1 ]
机构
[1] Inha Univ, Dept Civil Engn, 100 Inha Ro, Incheon 22212, South Korea
关键词
ALGORITHM; IDENTIFICATION; PARAMETERS;
D O I
10.1155/2020/8156573
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The stability of tunnels has mainly been evaluated based on displacement. Because displacement due to the excavation process is significant, back analysis of the structure and ground can be performed easily. Recently, the length of a segment-lined tunnel driven by the mechanized tunneling method is increasing. Because the internal displacement of a segment-lined tunnel is trivial, it is difficult to analyze the stability of segment-lined tunnels using the conventional method. This paper proposes a back analysis method using stress and displacement information for a segment-lined tunnel. A differential evolution algorithm was adopted for tunnel back analysis. Back analysis based on the differential evolution algorithm using stress and displacement was established and performed using the finite difference code, FLAC3D, and built-in FISH language. Detailed flowcharts of back analysis based on DEA using both monitored displacement stresses were also suggested. As a preliminary study, the target variables of the back analysis adopted in this study were the elastic modulus, cohesion, and friction angle of the ground. The back analysis based on the monitored displacement is useful when the displacement is significant due to excavation. However, the conventional displacement-based back analysis is unsuitable for a segment-lined tunnel after construction because of its trivial internal displacement since the average error is greater than 32% and the evolutionary calculation is finalized due to the maximum iteration criteria. The average error obtained from the proposed back analysis algorithm using both stress and displacement ranged within approximately 6-8%. This also confirms that the proposed back analysis algorithm is suitable for a segment-lined tunnel.
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收藏
页数:10
相关论文
共 20 条
[1]   Back analysis of an operating subsea tunnel considering the degradation of ground and concrete lining [J].
An, Joon-Sang ;
Song, Ki-Il .
MARINE GEORESOURCES & GEOTECHNOLOGY, 2019, 37 (04) :517-523
[2]  
Decker J., 2006, P 41 US S ROCK MECH
[3]   Displacement prediction in geotechnical engineering based on evolutionary neural network [J].
Gao, Wei ;
He, T. Y. .
GEOMECHANICS AND ENGINEERING, 2017, 13 (05) :845-860
[4]   BACK ANALYSIS PROCEDURES FOR THE INTERPRETATION OF FIELD-MEASUREMENTS IN GEOMECHANICS [J].
GIODA, G ;
SAKURAI, S .
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, 1987, 11 (06) :555-583
[5]  
Hisataki M., 1985, INT C NUM METH GEOM, P1301
[6]  
Itasca Consulting Group Inc., 2012, FLAC3D-fast Lagrangian analysis of continua in 3 dimensions
[7]  
Lee J.H., 2009, Int. J. JCRM, V5, P53
[8]  
REED P, 2004, WORLD WAT ENV RES C, P1
[9]   Differential evolution algorithm in the earthquake hypocenter location [J].
Ruzek, B ;
Kvasnicka, M .
PURE AND APPLIED GEOPHYSICS, 2001, 158 (04) :667-693
[10]   Structural damage detection using a multi-stage improved differential evolution algorithm (Numerical and experimental) [J].
Seyedpoor, Seyed Mohammad ;
Norouzi, Eshagh ;
Ghasemi, Sara .
SMART STRUCTURES AND SYSTEMS, 2018, 21 (02) :235-248