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基于BP神经网络与模糊控制的深基坑开挖侧向变形分析
引用本文:张福波,陈有亮,潘镇涛.基于BP神经网络与模糊控制的深基坑开挖侧向变形分析[J].岩土力学,2005,26(7):1148-1152.
作者姓名:张福波  陈有亮  潘镇涛
作者单位:上海大学,土木工程系,上海,200072
基金项目:国家自然科学基金资助项目(No.59809005)。
摘    要:利用实际工程深基坑开挖过程中坑壁侧向位移的实测资料,采用人工神经网络方法,建立了非线性人工神经网络模型,从而对深基坑开挖过程中坑壁侧向位移进行了预测。再通过模糊控制器对二维的复杂基坑问题进行施工控制。研究成果为软土地区深大基坑开挖过程中的施工控制和施工预报提供了新的思路。

关 键 词:深基坑  位移  BP神经网络  模糊逻辑控制
文章编号:1000-7598-(2005)07-1148-05
收稿时间:2004-02-25
修稿时间:2004年2月25日

Analysis of lateral deformation of deep excavation based on back propagation neural network and fuzzy logical control
ZHANG Fu-bo,CHEN You-liang,PAN Zhen-tao.Analysis of lateral deformation of deep excavation based on back propagation neural network and fuzzy logical control[J].Rock and Soil Mechanics,2005,26(7):1148-1152.
Authors:ZHANG Fu-bo  CHEN You-liang  PAN Zhen-tao
Institution:Department of Civil Engineering, Shanghai University, Shanghai 200072, China
Abstract:Based on the materials of practical survey on the real excavation displacement of underground engineering,an analytical model of nonlinear artificial neural network has been established. On the basis of above obtained result,the construction control plan can be predicted using fuzzy logical method. It is proved that the application of the ANN-fuzzy logic coupling model to the site construction control of the massif No.211 in Shanghai is successful. All these results have offered a new method for the construction control of underground engineering.
Keywords:deep foundation pit  displacement  back propagation neural network  fuzzy logical control  
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