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A Multi-Information Intelligent Identification Method of Rock Mechanics Parameter and Application in Underground Engineering

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Abstract:

To solve the high nonlinear mapping relationship between mechanical parameter and rock performance in underground engineering and to improve the uniqueness of optimal result in parameter recognition, a new multi-information intelligent identification method of rock mechanics parameter is proposed. By coupling neural network and genetic algorithm as an evolutionary algorithm, the global and nonlinear optimization search of mechanical parameters in the method is realized. And by building the associated fitness function to absorb multi-information, the method can improve the uniqueness of searched objective as far as possible. Application in Laxiwa underground powerhouse, the largest underground cavern in Yellow River valley, indicates that the intelligent method is very reliable and efficient in identification of rock mechanics parameter and in assistant design of underground engineering.

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Info:

Periodical:

Advanced Materials Research (Volumes 671-674)

Pages:

2081-2086

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.671-674.2081

Citation:

Cite this paper

Online since:

March 2013

Authors:

Tian Yu Liu

Keywords:

Genetic Algorithm (GA), Multi-Information, Neural Network (NN), Underground Powerhouse

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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