基于模糊聚类理论的TBM施工围岩可掘进性分级预测模型

发布时间：2018-01-07 03:01

本文关键词：基于模糊聚类理论的TBM施工围岩可掘进性分级预测模型　出处：《现代隧道技术》2014年06期 　论文类型：期刊论文

【摘要】：文章针对硬岩掘进机(TBM)在复杂地质条件下的可掘进性,进行了系统及定量的研究;基于模糊聚类理论和施工样本数据分析,建立了以掘进速率为分级指标,包括岩石单轴抗压强度、岩石完整性系数、围岩结构面与隧道轴线夹角和渗水量四项性质指标的可掘进性分级预测模型,将TBM施工围岩可掘进性分为好、一般和差三个性能等级;并在此基础上进一步细化模型粒度,以提高模型的精度和地质适用性。将所建模型应用于西秦岭隧道和大伙房水库输水隧洞工程实际工程效果表明,TBM掘进速率与由模型预测的掘进速率基本相吻合,验证了掘进性分级预测模型的可行性、科学性和有效性,进而对TBM的选型、设计和施工提供了重要的理论依据。
[Abstract]:Aiming at the hard rock tunnel boring machine (TBM) under complex geological conditions can be boring, studied systematically and quantitatively; fuzzy clustering analysis theory and construction based on the sample data is established based on the tunneling rate as the grading index, including uniaxial compressive strength of rock, integrality coefficient of rock classification prediction model, can be boring the angle between the surface and the axis of the tunnel surrounding rock structure and seepage four properties, TBM construction of excavation surrounding rock can divided into good, general and poor performance of the three grade; and on this basis to further refine the granularity of the model, in order to improve the accuracy and applicability of the geological model. The model is applied to the construction of the water conveyance tunnel West Qinling Mountains tunnel and Dahuofang reservoir engineering effect shows that the tunneling rate and TBM tunneling rate predicted by the model were consistent, verify the feasibility of the model of tunneling classification prediction, scientific and effective, in It provides an important theoretical basis for the selection, design and construction of TBM.

【作者单位】：天津大学机械工程学院;
【基金】：国家重点基础研究发展计划(973计划)资助项目(2013CB035402) 天津市产学研合作示范项目(2012GKF-0606)
【分类号】：U455.4;U452.12
【正文快照】： 王攀郭伟朱殿华(天津大学机械工程学院,天津300072)修改稿返回日期:2014-09-011前言在TBM设计、制造、施工应用过程中,施工效率的高低是决定工程成败和效益的关键,而千变万化的地质条件在很大程度上会影响TBM的施工,使其掘进速率在1~1 500 m/月的大范围内变化。所以,系统及定

【相似文献】