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BACK ANALYSIS ON ROCK MECHANICS PARAMETERS FOR
HIGHWAY TUNNEL BY BP NEURAL NETWORK METHOD
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Abstract The back analysis is made by means of the BP neural network algorithm on the mechanics parameters of surrounding rock masses in a highway tunnel construction project by NATM. The weight value matrices and tolerance vectors in accordance with input neurons and outputs can be obtained by training a set of specimens，which comes from a FEM analysis for a highway tunnel, the Pingshi Tunnel of the Beijing-Zhuhai expressway. The analogy results of the BP network produce a good agreement with the FEM calculations.
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Received: 01 November 2001
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MAO Yuting1, 2, HE Manchao1, 2, LIU Fangzhou3, BAI Xing4, YANG Xiaojie1, 2, TAO Zhigang1, 2*. Development and application of a large-scale physical model system for tunnel creep testing[J]. , 2026, 45(6): 1627-1638. |
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