地下工程安全的智能控制及三维仿真模拟系统研究

In recent years, various kinds of engineering underground activities in large cities are often carried out in soft ground, which often cause environmental soil damage such as ground subsidence, deformation, soil strata settlement and so on. Its effect on nearby environment is extremely prominent.This research discusses the problem of geoenvironmental safety under shield driving of metro-subway tunnels as well as the excavation-supporting work during construction in city urban areas.The prime concerns of this research deal with the surrounding soil deformation and its stability status under shield tunneling as well as during excavation work. The study investigates predictions of the ground surface settlement, and its effective control by adjusting the relevant construction parameters used for shield driving and excavating project..Combining with engineering practice of the metro-subway in Shanghai and Nanjing as well as of the anchor-abutment construction work, Runyang suspension bridge across Yongtze River, prediction and control of the ground surface upheaval / settlement nearby construction site have been made by respectively using artificial intelligence neural network (ANN) and fuzzy-logic control (FLC) technology. By contrast of the result values obtained by suggested method with its monitoring data in site, this study proves the feasibility and suitability of the above-mentioned soft science theory and method using in such kinds underground works. Meanwhile, the techniques of 3-D visualized simulation and multi-media monitoring work in construction site are also studied..

城市地下工程建设中的土工公害日益突出。在维护工程自身安全的同时必需兼顾周近环境的安全，加强机构与土体变形、稳定的预测和控制，已成为当前关注的热点。本项研究旨在采用模糊神经网络作智能控制，将预测结果用科学计算可视化技术研制三维仿真模拟系统专用软件。经与监测值比照并反馈修正后，研究成果将应用于指导深大复杂基坑施工的全过程.