| 采用BP神经网络反演隧道围岩力学参数 |
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| 引用本文： | 周建春,魏琴,刘光栋. 采用BP神经网络反演隧道围岩力学参数[J]. 岩石力学与工程学报, 2004, 23(6): 941-945 |
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| 作者姓名： | 周建春 魏琴 刘光栋 |
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| 作者单位： | 1. 华南理工大学交通学院,广州,510640
2. 湖南大学土木工程学院,长沙,410082 |
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| 摘 要： | 采用BP神经网络对公路隧道新奥法施工过程中围岩力学参数的反演分析进行了研究，通过隧道有限元方法得到了网络训练样本。对京珠高速公路坪石隧道围岩力学参数的仿真分析证明了该方法的有效性。
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| 关 键 词： | 隧道工程 围岩力学 新奥法 公路隧道 BP神经网络 反演分析 |
| 文章编号： | 1000-6915(2004)06-0941-05 |
| 收稿时间： | 2001-11-01 |
| 修稿时间： | 2002-01-10 |
BACK ANALYSIS ON ROCK MECHANICS PARAMETERS FOR HIGHWAY TUNNEL BY BP NEURAL NETWORK METHOD |
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| Zhou Jianchun,Wei Qin,Liu Guangdong. BACK ANALYSIS ON ROCK MECHANICS PARAMETERS FOR HIGHWAY TUNNEL BY BP NEURAL NETWORK METHOD[J]. Chinese Journal of Rock Mechanics and Engineering, 2004, 23(6): 941-945 |
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| Authors: | Zhou Jianchun Wei Qin Liu Guangdong |
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| Affiliation: | Zhou Jianchun1,Wei Qin1,Liu Guangdong2 |
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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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| Keywords: | tunneling engineering surrounding rock masses mechanics parameters back analysis BP neural network |
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