1. Direct multiphase mesh generation from 3D images using anisotropic mesh adaptation and a redistancing equation
- Author
-
Etienne Decencière, David Cárdenas-Peña, Luisa Silva, Dominique Jeulin, Thierry Coupez, and Jia-Xin Zhao
- Subjects
Computer science ,Computation ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Computational Mechanics ,General Physics and Astronomy ,010103 numerical & computational mathematics ,02 engineering and technology ,01 natural sciences ,Computational science ,Image (mathematics) ,0202 electrical engineering, electronic engineering, information engineering ,Computer vision ,Polygon mesh ,0101 mathematics ,ComputingMethodologies_COMPUTERGRAPHICS ,business.industry ,Mechanical Engineering ,Multiphase flow ,Image segmentation ,Finite element method ,Computer Science Applications ,Mechanics of Materials ,Mesh generation ,020201 artificial intelligence & image processing ,Artificial intelligence ,Laplacian smoothing ,business - Abstract
In this paper, a new methodology to build automatically 3D adapted meshes, ready for numerical simulations and directly from images, is proposed. It is based on the Immersed Image Method, which interpolates the image information on an initial mesh and combines it with parallel automatic anisotropic mesh adaptation with a control of the number of mesh nodes. Simultaneously, a smooth redistancing technique, based on the resolution of a Hamilton–Jacobi equation, is developed to produce phase functions for the objects to be detected in the image. The proposed methodology is applied on mesh generation and in multiphase flow computations based on 2D and 3D images.
- Published
- 2016