| 深基坑工程施工监测数据反演及变形预测 |
| |
| 引用本文： | 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. |
| |
| 作者姓名： | 倪婷 程桦 曹广勇 |
| |
| 作者单位： | 安徽建筑大学 土木工程学院,安徽合肥,230022;安徽建筑大学 土木工程学院,安徽合肥,230022;安徽建筑大学 土木工程学院,安徽合肥,230022 |
| |
| 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。
|
| 关 键 词： | 深基坑 BP神经网络 数值反演 监测数据 |
Inversion and deformation prediction of construction monitoring data on deep foundation pit engineering |
| |
| Ni Ting,Cheng Hua and Cao Guang-yong.Inversion and deformation prediction of construction monitoring data on deep foundation pit engineering[J].Journal of Anhui Jianzhu University,2017,25(2):21-24. |
| |
| Authors: | Ni Ting Cheng Hua and Cao Guang-yong |
| |
| Affiliation: | Civil Engineering School, Anhui Jianzhu University, Hefei, 230022, China,Civil Engineering School, Anhui Jianzhu University, Hefei, 230022, China and Civil Engineering School, Anhui Jianzhu University, Hefei, 230023, China |
| |
| Abstract: | 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. |
| |
| Keywords: | |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《安徽建筑大学学报》浏览原始摘要信息 |
|
点击此处可从《安徽建筑大学学报》下载全文 |
|
