润扬大桥南汊北锚碇深基坑工程施工变形智能预测与控制研究(I)

STUDY ON INTELLIGENT FORECAST AND CONTROL OF CONSTRUCTION DEFORMATION OF DEEP FOUNDATION PIT OF NORTH ANCHORAGE OF RUNYANG BRIDGE(I)

在对深基坑墙体位移时序规律分析的基础上,提出了基于MATLAB 5.3平台的神经网络多步预测模型,可以一次预测多步施工的变形,达到及早调整基坑施工参数,完成变形控制的目的。对润扬大桥北锚碇深大基坑工程的施工实例分析显示,预测值和实测值基本吻合,表明该预测模型具有较高的精度。

On the basis of time series analysis of diaphragm wall deformation in deep pit system,a MATLAB system-based ANN multi-step deformation forecast model is developed. The deformation corresponding to multi-steps of excavation can be predicted with this model at a time,and the construction parameters can be adjusted in time,so that the diaphragm wall deformation can be controlled. The deep foundation pit of north anchorage of Runyang Bridge is taken as a case example to make study on intelligent forecast and control of construction deformation,and it is showed that the results of prediction agree well with the data of in-situ measurement.