Back - Analysis of Mechanics Parameters of Tunnel Based on Particle Swarm Optimization and Numerical Simulation

An Nan Jiang; Peng Li

doi:10.4028/www.scientific.net/KEM.474-476.1373

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 474-476Back - Analysis of Mechanics Parameters of Tunnel...

Back - Analysis of Mechanics Parameters of Tunnel Based on Particle Swarm Optimization and Numerical Simulation

Abstract:

The geological body has uncertainty and complexity characters, therefore the predesign scheme for construction has blindness. Field measurement and back analysis can help identify rock mass parameters in actual engineering field. The paper combines an intelligent optimization arithmetic-particle swarm optimization (PSO) and 3-D fast Lagrange numerical method to construct a parameters back analysis method for underground engineering. The PSO has global robust optimization property and overcomes the conventional optimization method problem of being limited in local optimization. The FISH language is used to develop the PSO arithmetic and is embedded in the business software- FLAC-3D. The method is used in Dalian Metro construction and it proves that this method has not only fast convergence speed but also high prediction. It offers a new idea to geotechnical parameters identification.

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Periodical:

Key Engineering Materials (Volumes 474-476)

Pages:

1373-1376

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.474-476.1373

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Online since:

April 2011

Authors:

An Nan Jiang, Peng Li

Keywords:

Back Analysis, Numerical Simulation, Particle Swarm Optimization Algorithm (PSO), Tunnel Construction

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References

[1] L.D. Yang. Geotechnical Engineering Back Analysis Theory and Engineering Practice. Beijing, Science Press. (1995).

Google Scholar

[2] A.Z. Lv, B.S. Jiang. Rock Mechanics Inverse Problem. Beijing, Coal Industry Press. (1998).

Google Scholar

[3] A.N. Jiang, Z.L. Ru,J. Zhang. Back Analysis of Surrounding Rock Parameter Based on PSO and FLAC. Mining Research and Development, 27(5): 33-35. (2007).

Google Scholar

[4] Y.M. Chen, D.P. Xu, FLAC/ FLAC3D Basic and Engineering Example, Beijing, China Water Power Press. (2008).

Google Scholar

[5] S.Z. Yang, R. Her, L.H. Wan, etc. Back-analysis of Deep foundation and soil mechanics parameter based on PSO. North Water Transfer Project, 27 (1): 94 - 96. ( 2006).

Google Scholar