东南大学学报（自然科学版）2017，Vol.47Issue(3)：590-598,9.DOI:10.3969/j.issn.1001-0505.2017.03.029
软土区某地铁深基坑施工过程数值模拟及现场监测
Numerical simulation and monitoring on construction process of deep pit of subway station in soft clay
摘要
Abstract
To study the deformation of deep pit and surrounding soil displacement in the soft soil area,the software ABAQUS was used for modeling analysis and safety monitoring of the construction process of a subway deep pit in soft soil area.The calculation results were compared with the measured data.The results show that when the Mohr Coulomb model is used to simulate the construction process of pit,the horizontal displacement of the wall calculated is accurate and the average calculation error of the maximum displacement of the wall is 15％ of the measured value.The calculated settlement of the surrounding soil is smaller than the measured value.When the last layer of soil is excavated and there is no supporting action near the excavation surface,the horizontal deformation of the wall increases obviously.The increment of the deformation of the long-side mid-point section and that of the end section of the long-side are 9.1 and 10.5 mm,respectively.The change rate of the horizontal displacement of the diaphragm wall near the excavation surface should be taken as the control index of safety monitoring.The mid-point section of the long-side and the end section of the long-side have different wall deformation in long deep pits.The warning values of the deformation monitoring should be set for different positions.The axial force of the support exhibits a large mutation when the next layer soil is excavated.The impact of the mutation on the support safety reserve should be taken into account in the design,and the change of the axial force before and after mutation should be focused on during monitoring.关键词
软土区地铁深基坑/有限元分析/现场监测/围护结构变形Key words
deep pit of subway station in soft clay/finite element analysis/monitoring/deformation of retaining structure分类
建筑与水利引用本文复制引用
徐江,龚维明,穆保岗,刘博韬,张琦,戴国亮..软土区某地铁深基坑施工过程数值模拟及现场监测[J].东南大学学报（自然科学版）,2017,47(3):590-598,9.基金项目
中央高校基本科研业务费专项资金资助项目、江苏省普通高校研究生科研创新计划资助项目(KYLX16_0238)、国家重点基础研究发展计划(973计划)资助项目(2013CB036304). （KYLX16_0238）
