| 隧道位移反分析研究 |
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| 引用本文： | 李虎军,李德武. 隧道位移反分析研究[J]. 福建建材, 2011, 0(8): 14-16 |
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| 作者姓名： | 李虎军 李德武 |
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| 作者单位： | 兰州交通大学,甘肃兰州730070 |
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| 基金项目： | 本文基于铁道部兰渝铁路线科研项目,项目编号为：2009G009-B-2 |
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| 摘 要： | 以兰渝铁路线天池坪隧道为工程背景，以现场监控量测资料为依据，基于ISTOPT中的通用全局优化算法克服了当今世界上在优化计算领域中使用迭代法必须给出合适初始值的难题，而由1STOPT随机给出，找出最优解来预测围岩最终位移值，再分别基于Matlab中BP神经网络和径向基神经网络进行位移反分析法，为保证系统训练样本符合工程实...
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| 关 键 词： | 隧道 位移反分析 ISTOPT MATLAB 工具箱 BP神经网络 径向基神经网络 |
The Displacement Back Analysis of Tunnel |
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| LI Hu-jun,LI De-wu. The Displacement Back Analysis of Tunnel[J]. , 2011, 0(8): 14-16 |
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| Authors: | LI Hu-jun LI De-wu |
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| Affiliation: | ( Lanzhou Jiaotong University,Lanzhou,730070 ) |
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| Abstract: | Tianchiping Tunnel in Lan-Yu Railway was taked for example and the field test data was deemed as the referenees,nowadays, ISTOPT based on the general global optimization algorithm is overcome in the field of optimization calculation using iterative method must be given initial value problem in the world,right by random given,find out the optimal solution to predict eventually displacement value of surrounding rock, based on Matlab, however, BP neural network and RBF neural network to carry on the displacement back analysis method, in order to ensure that the systematic training samples comply with the actual project, using finite difference of actual software FLAC3D numerical simulation of tunnel excavation process,in the practical monitoring displacement value analysis of the actual project performance of the surrounding rock parameters. |
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| Keywords: | tunnel displacement back analysis ISTOPT MATLAB toolbox BP neural network RBF neural network |
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