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

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Analysis of lateral deformation of deep excavation based on back propagation neural network and fuzzy logical control

更新时间：2026-06-25

- Analysis of lateral deformation of deep excavation based on back propagation neural network and fuzzy logical control
- Vol. 26, Issue 7, (2005)
- 作者机构：
  
  上海大学土木工程系,上海,200072
- 作者简介：
- 基金信息：
- DOI：
  CLC： TU433
- Online First：17 December 2013，
  
  Published：2005
- 稿件说明：
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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]. 2005, 26(7).
DOI：

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]. 2005, 26(7). DOI：

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。

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.

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