文章摘要
倪婷,程桦,曹广勇.深基坑工程施工监测数据反演及变形预测[J].安徽建筑大学学报,2017,25(2):21-24
深基坑工程施工监测数据反演及变形预测
Inversion and deformation prediction of construction monitoring data on deep foundation pit engineering
  
DOI:10.11921/j.issn.2095-8382.20170205
中文关键词: 安徽建筑大学 土木工程学院,安徽合肥 230022
英文关键词: deep foundation pit  BP neural network  numeric inversion  monitoring data
基金项目:/
作者单位
倪婷 安徽建筑大学 土木工程学院安徽合肥 230022 
程桦 安徽建筑大学 土木工程学院安徽合肥 230022 
曹广勇 安徽建筑大学 土木工程学院安徽合肥 230023 
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中文摘要:
      基于深基坑地连墙变形的特点及复杂性,本文运用有限元分析软件Midas/gts进行数值模拟,结合BP神经网络数据反演的功能,分析监测数据,检验计算和模拟时土体参数选取的合适性,并对施工中地连墙变形趋势进行评估,从而动态科学的指导施工。通过算例可知将监测数据反演与数据模拟结合可以很好的指导施工并预防事故。
英文摘要:
      Based on the characteristics and complexity of the deformation of deep foundation pit diaphragm walls, the MIDAS/GTS finite element analysis software was used to carry out numerical simulation in this paper. Then, combined with the learning and retrieval function of BP neural network, the monitoring data was analyzed, the suitability of the selection of soil parameters in the calculation and simulation was tested, and the deformation trend of diaphragm wall in the construction was evaluated in order to guide construction in dynamic and scientific ways. It was shown in the example that the construction could be guided and secured by means of the combination of the monitoring data inversion and the data simulation.
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