A summary of significant contributions from Data Visualization and Modeling (DaViM) Lab, spanning structural optimization, adaptive generation, and quality improvement of hexahedral meshes for finite element and isogeometric analysis.
High-quality structured and semi-structured meshes are indispensable for achieving accurate and efficient numerical simulations in science, engineering, and medicine. The publications below highlight our research group's ongoing efforts to overcome fundamental challenges in 3D hexahedral meshing. By introducing innovative methodologies for global structure alignment, robust untangling, adaptive feature preservation, and topological simplification, we aim to bridge the gap between complex raw geometries and simulation-ready models tailored for Finite Element Analysis (FEA) and Isogeometric Analysis (IGA).
Focus: Untangling and geometric quality enhancement (Computer & Graphics)
Focus: Reducing mesh complexity via structural simplification (SIGGRAPH Asia 2017)
Focus: Global structure and base-complex optimization (SIGGRAPH 2015)
Focus: Effective visualization of element quality for hex-meshes (IEEE Vis 2023)
Focus: Decompose hex-mesh structure for effective visualization and quality analysis (IEEE SciVis 2018)
Focus: evaluating the effectiveness of different quality metrics for hex-mesh quality (SGP 2017/Computer Graphics Forum)
Focus: Varying element sizes for feature preservation (Computer Graphics Forum)
Focus: Volumetric decomposition for predictable and simple structured hex-meshes (IEEE TVCG)