摘要
在深基坑开挖施工变形控制过程中,若获取的深基坑开挖过程状态预测值不精准,会直接影响后续施工变形控制效果,为此,提出临江地下工程深基坑开挖施工变形控制方法研究。确定深基坑开挖施工时的相关变形参数,结合递归神经网络建立预测模型,利用变形模糊控制设计模糊控制器,采集深基坑开挖施工变形状态,利用控制器调整施工参数,根据参数调整施工过程,实现对临江地下工程深基坑开挖施工变形精准控制。实验结果表明,利用该方法开展深基坑开挖施工变形控制时,效果好、性能高。
In the process of excavating and constructing deep foundation pits,inaccurate predictions of excavation process states can directly undermine the subsequent effectiveness of deformation control during construction.To address this issue,we present a research approach focused on precise deformation control during the excavation and construction of deep foundation pits for underground engineering in the riverside context.Firstly,relevant deformation parameters during the excavation phase of deep foundation pits are determined.Secondly,we establish a predictive model by integrating a recursive neural network.Subsequently,a deformation fuzzy control strategy is formulated through the design of a fuzzy controller.By monitoring the deformation states during the excavation of deep foundation pits,the controller adjusts construction parameters,facilitating real-time adjustments to the construction process.This approach enables accurate deformation control for the underground engineering project in the riverside context.Experimental results affirm the efficacy and high performance of this approach in achieving deformation control during the excavation of deep foundation pits.
作者
蓝思成
LAN Sicheng(China Railway Construction Group Co.Ltd.,Beijing 100040,China)
出处
《铁道建筑技术》
2023年第9期165-169,共5页
Railway Construction Technology
基金
中铁建设集团有限公司科技研究开发计划项目(LX23-46C)。
关键词
临江地下工程
深基坑
开挖施工
变形控制方法
施工变形状态预测
riverside underground engineering
deep foundation pit
excavation construction
deformation control method
prediction of construction deformation status
