Journal of Shanghai Jiao Tong University ›› 2014, Vol. 48 ›› Issue (11): 1517-1522.doi: 10.16183/j.cnki.jsjtu.2014.11.003

Special Issue: 王建华教授学报发文专辑

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Data Model and Data Structure of Deep Excavation Considering Parameter Fusion

ZHANG Bin1(), HUANG Zhong-hui1,2, ZHU Yan-fei1,3, WANG Jian-hua1()   

  1. 1.Department of Civil Engineering, Shanghai Jiaotong University, Shanghai 200230, China
    2.Shanghai Municipal Construction Engineering Safety Quality Supervision Center, Shanghai 200032, China
    3.Shanghai Tunnel Engineering Company, Shanghai 200093, China
  • Received:2013-11-29 Online:2014-11-01 Published:2014-11-28


A data model considering parameter fusion was presented by studying the relation among the geometric, physical and mechanical parameters of different entities during excavation. Based on C++ and the object-oriented program development method, a data structure reflecting the entity class hierarchy was introduced to develop a 3D modeling and risk pre-warning software for deep excavation. By using the 3D modeling software, the geometric and mechanical model of deep excavation was unified. The software was applied to the deep excavation of the metro station at Hanzhong Road in Shanghai, and the results show that the presented data model reflects the relation among different entities well and is effective in detecting potential risks during excavation.

Key words: deep excavation, parameter fusion, data model, data structure, risk analysis

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