Journal
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
Volume 27, Issue 1, Pages 52-59Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tust.2011.06.008
Keywords
Lined circular tunnel; ANN-based solution; Elasto-plastic rock mass; Anisotropic in situ stresses; Design of Experiments; Finite Difference Method
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An approximate solution is presented for predicting the convergence of lined circular tunnels in elasto-plastic rock masses with anisotropic in situ stresses. The basic idea which led to derivation of the solution is function approximation using Artificial Neural Networks (ANNs). A suitable data base including 2500 convergence values is prepared by innovative combination of Design of Experiments technique and Finite Difference Method. Then, an ANN with optimum architecture and appropriate training algorithm is used to learn the underlying phenomena involved in the problem from the data. The explicit form of the solution for calculation of convergence is elicited from the trained ANN. Subsequently, the ANN-based solution is validated against analytical and numerical solutions. Finally, the limitations associated with the solution are discussed. (C) 2011 Elsevier Ltd. All rights reserved.
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