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

Abstract:

Article Preview

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.

Info:

Periodical:

Edited by:

Xuejun Zhou

Pages:

637-640

DOI:

10.4028/www.scientific.net/AMM.94-96.637

Citation:

Z. P. Song et al., "The Tunnel Surrounding Rock Parameters Identification Method Based on PSO-ANN", Applied Mechanics and Materials, Vols. 94-96, pp. 637-640, 2011

Online since:

September 2011

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Price:

$35.00

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