Optimized stress analysis model generation for tunneling applications incorporating geology

点击翻译按钮获取中文摘要

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.