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MODERN TUNNELLING TECHNOLOGY 2018, Vol. 55 Issue (1) :107-113    DOI:
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Application of Genetic Algorithm Based BP Neural Network to Parameter Inversion of Surrounding Rock and Deformation Prediction
(1 China Railway Construction Bridge Engineering Bureau Group Co. Ltd., Tianjin 300300; 2 College of Engineering and Architecture Tongling University, Tongling 244000; 3 College of Resources and Civil Engineering, Northeastern University, Shenyang 110819)
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Abstract Reliable mechanical parameters of surrounding rock are imperative for the accurate prediction of tunnel deformation. A GA-BP based neural network back analysis system is proposed and automatic searching for BP network parameters can be realized, with the efficiency of inversion analysis increasing greatly. This GA-BP intelligent back analysis system is applied to the inversion of rock mass parameters and deformation prediction for the Dadingshan tunnel passing underneath the Shenyang-Dandong expressway. The results show that the convergence speed of the GA-BP back analysis system is fast and the parameter inversion of the surrounding rock and deformation prediction is accurate.
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Keywords： Genetic algorithm method   BP neural network   CD construction method   Tunnel   Mechanical parame? ters of surrounding rock   Deformation prediction     
Abstract： Reliable mechanical parameters of surrounding rock are imperative for the accurate prediction of tunnel deformation. A GA-BP based neural network back analysis system is proposed and automatic searching for BP network parameters can be realized, with the efficiency of inversion analysis increasing greatly. This GA-BP intelligent back analysis system is applied to the inversion of rock mass parameters and deformation prediction for the Dadingshan tunnel passing underneath the Shenyang-Dandong expressway. The results show that the convergence speed of the GA-BP back analysis system is fast and the parameter inversion of the surrounding rock and deformation prediction is accurate.
Keywords： Genetic algorithm method,   BP neural network,   CD construction method,   Tunnel,   Mechanical parame? ters of surrounding rock,   Deformation prediction     
Cite this article:   
.Application of Genetic Algorithm Based BP Neural Network to Parameter Inversion of Surrounding Rock and Deformation Prediction[J]  MODERN TUNNELLING TECHNOLOGY, 2018,V55(1): 107-113
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