隧道施工过程多元信息可视化分析系统研究及应用

发布时间：2018-01-20 13:54

本文关键词： 隧道施工隧道监测反分析围岩分级 VTK可视化　出处：《大连海事大学》2015年硕士论文　论文类型：学位论文

【摘要】：本文通过对当前国内外围岩分级、地质体三维可视化及隧道施工管理系统的研究与总结的基础上,重点研究并完成了以下内容：(1)研究并搭建了隧道施工过程中包括传感器、人工监测及地质超前等信息的多元信息的采集系统,将所搭建的系统应用到抚松隧道工程实际中,对采集到的多元信息进行了综合分析。另一方面,将差异进化(DE)算法分别于BP神经网络算法及有限元法(FEM)相结合,实现了DE-ANN算法及DE-FEM反演程序。运用其中的DE-ANN算法对采集的传感器信息进行了时间序列预测,用其中的DE-FEM反演程序对抚松隧道大量断面进行了力学参数反演工作。(2)在分析隧道施工期围岩动态分级的必要性且对现有的围岩分级方法探讨的基础上,对隧道施工期围岩分级进行了研究。包括围岩分级所选取的分级指标、所采用的智能算法等。提出了考虑地质超前预报的基于DE-ANN算法的围岩分级方法,并结合VTK可视化实现了隧道施工过程三维可视化围岩分类技术。(3)综合考虑现有的三维地质体可视化技术、隧道施工管理系统及实际工程需求的基础上,按照软件工程的方法,用C#语言在.NET可视化环境下,开发了“隧道施工过程多元信息可视化分析系统”,该系统可以快速的创建需要的模型,并且具有工程中所需的数据管理、围岩分级、参数反分析、有限元计算等常用功能。最后将该系统应用到大连地铁及抚松隧道实际工程中,结果表明：该系统具有高效地信息管理,及时、准确地分析预报隧道结构稳定状况的功能,为指导施工,确保工程安全和进度提供了有力的工具。
[Abstract]:Based on the research and summary of classification of surrounding rock, 3D visualization of geological body and tunnel construction management system at home and abroad. Focus on the study and completion of the following content: 1) study and build the tunnel construction process, including sensors, artificial monitoring and geological advance information multi-information collection system. The system is applied to the Fusong tunnel project, and the multiple information collected is analyzed synthetically. On the other hand. The differential evolution (DED) algorithm is combined with the BP neural network algorithm and the finite element method (FEMM), respectively. The DE-ANN algorithm and the DE-FEM inversion program are implemented, and the DE-ANN algorithm is used to predict the time series of the sensor information. The mechanical parameter inversion of a large number of sections of Fusong tunnel is carried out by using the DE-FEM inversion program. Based on the analysis of the necessity of dynamic classification of surrounding rock during tunnel construction and the discussion of existing surrounding rock classification methods. The classification of surrounding rock in tunnel construction period is studied, including the classification index selected by surrounding rock classification. In this paper, a new method of surrounding rock classification based on DE-ANN algorithm is proposed, which takes geological advance prediction into account. Combined with VTK visualization, the 3D visualization surrounding rock classification technology of tunnel construction process is realized. The existing 3D geological body visualization technology is considered synthetically. On the basis of tunnel construction management system and actual engineering requirements, according to the method of software engineering, a "multi-information visualization analysis system for tunnel construction process" is developed by using C # language in .NET visual environment. The system can quickly create the required model, and has the required data management, surrounding rock classification, parameter back analysis. At last, the system is applied to Dalian subway and Fusong tunnel project. The results show that the system has high efficiency information management and timely. The function of predicting the stability of tunnel structure is analyzed accurately, which provides a powerful tool for guiding the construction and ensuring the safety and progress of the project.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U455

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