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。
Based on the materials of practical survey on the real excavation displacement of underground engineering, an analytical model of nonlinear artificial neural network (ANN) 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.
出处
《岩土力学》
EI
CAS
CSCD
北大核心
2005年第7期1148-1152,共5页
Rock and Soil Mechanics
基金
国家自然科学基金资助项目(No.59809005)。
关键词
深基坑
位移
BP神经网络
模糊逻辑控制
Deformation
Foundations
Fuzzy control
Mathematical models
Neural networks
Nonlinear systems
Real time systems
Three dimensional
