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: 2009
• 资助国家: 加拿大
• 起止时间: 2009-01-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=428914
• 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.

拟议的研究计划的目的是开发一个自动化的框架，优化模型生成的应力分析，在隧道工程中的应用，结合地质特征。涉及地质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，这主要是由于成本，特别是对于三维建模。在隧道设计中，地质特征不仅使挖掘复杂化并增加成本，而且如果建模不当，可能会对结果产生重大影响，并可能导致不正确的设计。它们的影响主要是由于不同的材料特性（例如，具有3倍高刚度的侵入岩墙吸引应力）。不幸的是，在目前的应力分析实践中，地质往往被忽略，由于缺乏建模工具和时间限制。所提出的框架将使适当的地质特征包括在应力分析中，使用选择性算法过滤掉不影响结果的特征。模型生成将需要输入参数，例如隧道几何形状和地质特征（例如接头的方向和间距等）。隧道的高分辨率表面网格将使用网格化算法从输入数据中自动生成，隧道交叉点的分辨率将沿着包含地质特征。该模型将根据申请人首创的感兴趣区域概念进行优化，以减少网格密度并消除地质特征。所生成的网格将在ROI处具有良好的质量，并且在“远距离”区域处具有降低的密度。从该网格，可以使用对FEM分析有用的3D网格化算法来创建体积网格。研究计划的下一步将涉及使用实际场景测试框架。与现有的研究计划不同的是：在隧道模型中包含地质特征以进行应力分析，并能够基于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精度。该框架将使加拿大和世界各地的隧道和地下基础设施设计更安全，更经济。