The Tunnel Surrounding Rock Parameters Identification Method Based on PSO-ANN

Abstract:

Aiming at the complexity and uncertainty of rock and soil body, the paper proposed a tunnel surrounding rock parameters identification method combining numerical simulation, particle swarm optimization and artificial neural network. The method acquired data set between rock soil parameters and monitoring displacement and trained artificial neural network. The analytical theory and method are introduced in detail, analyzes the tunnel of Dalian Metro by the proposed method, and gets satisfied results. Which states that the parameters identification method based on PSO-ANN is feasible and has good foreground.

• Periodical: Applied Mechanics and Materials (Volumes 94-96)
• Pages: 637-640
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.94-96.637
• Online since: September 2011
• Authors: Zhan Ping Song, Song Bo Ren, Zhen Chao Guo
• Keywords: Artificial Neural Network (ANN), Back Analysis, Particle Swarm Optimization Algorithm (PSO), Surrounding Rock

References

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