Optimized stress analysis model generation for tunneling applications incorporating geology

结合地质学的隧道应用优化应力分析模型生成

• 批准号: 327594-2008
• 负责人: Zsaki, Attila
• 金额: $ 1.31万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2008
• 资助国家: 加拿大
• 起止时间: 2008-01-01 至 2009-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=397857
• 关键词: Optimized; stress; analysis; model; generation

The proposed research program aims at developing an automated framework for optimized model generation for stress analysis in tunneling applications incorporating geologic features. Modeling and design involving geomaterials often has to accommodate for our lack of knowledge or data mainly due to cost, particularly for three-dimensional modeling. In the design of tunnels, geologic features not only complicate excavation and add to the cost, but if not modeled properly, can substantially influence the results and could potentially lead to incorrect design. Their influence is mainly due to differing material properties (e.g. an intrusive dyke with 3x higher stiffness attracting stress). Unfortunately, in current stress analysis practice, geology is often omitted due to lack of modeling tools and time constraints. The proposed framework will enable the proper inclusion of geologic features in stress analysis using a selective algorithm to filter out features not affecting the result. Model generation will require input parameters, such as tunnel geometry and geologic features (e.g. orientation and spacing of joints, etc.). A high-resolution surface mesh of the tunnel(s) will be automatically generated from the input data using meshing algorithms and resolution of intersections of tunnels will be implemented along with inclusion of geologic features. The model will be optimized to reduce mesh density and eliminate geologic features based on a region of interest (ROI) concept pioneered by the applicant. The generated mesh will have good quality at the ROI and reduced density at 'far away' regions. From this mesh, a volume mesh can be created with 3D meshing algorithms useful for FEM analysis. The next step of the research program will involve testing the framework using practical scenarios. What sets the proposed research program apart from the existing ones is: inclusion of geologic features in the tunnel model for stress analysis and the ability to automatically generate optimized meshes based on ROI to reduce computation time while maintaining solution accuracy considering the effect of geologic features. The framework will enable the design of safer and more economical tunnels and underground infrastructure in Canada and around the world.

拟议的研究计划旨在开发一个自动化框架，用于优化模型生成，以在结合地质特征的隧道应用中进行应力分析。涉及岩土材料的建模和设计通常必须适应我们缺乏知识或数据的情况，主要是由于成本，特别是对于三维建模。在隧道设计中，地质特征不仅使开挖变得复杂并增加成本，而且如果建模不当，可能会严重影响结果，并可能导致设计错误。它们的影响主要是由于不同的材料特性（例如，具有 3 倍高刚度的侵入式堤坝吸引应力）。不幸的是，在当前的应力分析实践中，由于缺乏建模工具和时间限制，地质学常常被忽略。所提出的框架将能够使用选择性算法将地质特征正确纳入应力分析中，以过滤掉不影响结果的特征。模型生成需要输入参数，例如隧道几何形状和地质特征（例如接缝的方向和间距等）。将使用网格划分算法根据输入数据自动生成隧道的高分辨率表面网格，并且将实现隧道交叉点的分辨率以及地质特征的包含。该模型将根据申请人首创的感兴趣区域（ROI）概念进行优化，以降低网格密度并消除地质特征。生成的网格在 ROI 处具有良好的质量，并在“远处”区域具有较低的密度。根据该网格，可以使用可用于 FEM 分析的 3D 网格划分算法创建体积网格。研究计划的下一步将涉及使用实际场景测试框架。所提出的研究计划与现有研究计划的不同之处在于：将地质特征纳入隧道模型中进行应力分析，并能够根据 ROI 自动生成优化网格，以减少计算时间，同时考虑地质特征的影响保持解决方案的准确性。该框架将使加拿大和世界各地的隧道和地下基础设施的设计变得更安全、更经济。