首页 | 本学科首页   官方微博 | 高级检索  
     


Variational generation of prismatic boundary‐layer meshes for biomedical computing
Authors:Volodymyr Dyedov  Daniel R. Einstein  Xiangmin Jiao  Andrew P. Kuprat  James P. Carson  Facundo del Pin
Affiliation:1. Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, U.S.A.;2. Biological Monitoring and Modeling, Pacific Northwest National Laboratory, Richland, WA, U.S.A.;3. Professor.;4. Livermore Software Technology Corp., Livermore, CA, U.S.A.
Abstract:Boundary‐layer meshes are important for numerical simulations in computational fluid dynamics, including computational biofluid dynamics of air flow in lungs and blood flow in hearts. Generating boundary‐layer meshes is challenging for complex biological geometries. In this paper, we propose a novel technique for generating prismatic boundary‐layer meshes for such complex geometries. Our method computes a feature size of the geometry, adapts the surface mesh based on the feature size, and then generates the prismatic layers by propagating the triangulated surface using the face‐offsetting method. We derive a new variational method to optimize the prismatic layers to improve the triangle shapes and edge orthogonality of the prismatic elements and also introduce simple and effective measures to guarantee the validity of the mesh. Coupled with a high‐quality tetrahedral mesh generator for the interior of the domain, our method generates high‐quality hybrid meshes for accurate and efficient numerical simulations. We present comparative study to demonstrate the robustness and quality of our method for complex biomedical geometries. Copyright © 2009 John Wiley & Sons, Ltd.
Keywords:mesh generation  prismatic boundary layers  gradient‐limited feature size  face offsetting  variational optimization
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号