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地铁隧道施工引起地层变形的反分析预测系统

Back Analysis Prediction System for Ground Deformation due to Subway Tunneling Excavation

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【作者】 刘波陶龙光叶圣国李希平丁城刚

【Author】 LIU Bo~1, TAO Long-guang~1, YE Sheng-guo~1, LI Xi-ping~(1,2), DING cheng-gang~1(1. School of Mechanics and Civil Engineering, CUMT, Beijing 100083,China;2. Guangzhou Municipal Construction Committee, Guangzhou Guangdong 510032,China)

【机构】 中国矿业大学力学与建筑工程学院中国矿业大学力学与建筑工程学院 北京 100083北京 100083北京 100083广州市建设委员会广东广州 510032北京 100083

【摘要】 地铁施工诱发地层环境损伤的众多问题中,地层沉降的预测与控制是急待深入研究的重要课题。为此,研究开发出了地铁隧道沉降预测(STSP)系统;给出了随机介质理论预测隧道施工诱发地表横向和纵向变形的计算公式;基于最优化理论的共轭方向加速法,研究了地铁隧道施工引起地面沉降的Peck法与随机介质法各自的多参数反分析方法;并将理论公式与反分析法编程实现;实例分析证明了理论方法与程序系统的科学性和可靠性.

【Abstract】 In all environmental damages induced by subway tunneling excavation, the prediction and control of the ground surface subsidence are the important problems to have to be solved. Therefore, a new subway tunneling settlement prediction (STSP) software code is developed and introduced. The analytical formulation for cross-sectional and longitudinal ground settlement prediction was presented on the basis of stochastic medium model. An optimization theory of Powell’s conjugation directional method was employed in subsidence back-analysis prediction for stochastic medium model and Peck volume loss model. The associated formula for programming was also presented. Finally, the case studies are carried out to verify the validity and reliability of theory approaches and software system.

【基金】 国家自然科学基金项目(50304012)
  • 【文献出处】 中国矿业大学学报 ,Journal of China University of Mining & Technology , 编辑部邮箱 ,2004年03期
  • 【分类号】U45;TU433
  • 【被引频次】118
  • 【下载频次】1003
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