Anisotropic Tetrahedral Mesh Adaptation with Improved Metric Alignment and Orthogonality. (February 2022)

• Record Type: Journal Article
• Authors: Xiao, Zhoufang; Ollivier-Gooch, Carl; Zuniga Vazquez, Jose D.
• Is Part Of: Computer aided design. Volume 143(2022)
• Publication Date: 2022-02
• Subjects: Anisotropic mesh -- Metric alignment -- Metric orthogonality -- Mesh adaptation; Computer-aided design -- Periodicals; Engineering design -- Data processing -- Periodicals; Computer graphics -- Periodicals; Conception technique -- Informatique -- Périodiques; Infographie -- Périodiques; Computer graphics; Engineering design -- Data processing; Periodicals; Electronic journals; 620.00420285
• DOI: 10.1016/j.cad.2021.103136
• Languages: English
• ISSNs: 0010-4485

Abstract

Abstract: An enhanced mesh adaptation method aiming at generating elements that align the metric is proposed. Well-proven and robust local operators are tailored to modify an existing mesh to satisfy the underlying metric field while enhancing the metric-alignment and orthogonality of the mesh elements. The metric field defines a target element size, shape, and orientation at each point, and a corresponding transformation from a reference element to the target element. A quality criterion based on this transformation is used for selecting edges for splitting and deciding local mesh connectivity after edge collapse, which helps to improve metric alignment and orthogonality of the adapted mesh. Finally, a workflow is organized by combining the local operations and the new techniques to adapt a mesh according to a metric field. Numerical experiments on anisotropic meshes are presented to demonstrate the effectiveness of the proposed method. Highlights: An enhanced mesh adaptation method aimed at generating elements with good metric alignment and orthogonality is proposed. Using ideal target elements and robust local mesh operations improves metric alignment and orthogonality of the adapted mesh. During edge splitting, insertion is based on quality improvement, which significantly improves metric orthogonality.