CrossLink: General Overview [Slides]

Technical Report · Thu Jan 19 04:00:00 EST 2023

DOI:https://doi.org/10.2172/1922746· OSTI ID:1922746

Drayna, Travis William ^[1]; Lang, Laura M. ^[1]; Long, Louie Joseph ^[1]; Stam, Henry Russell ^[1]

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1. Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Problem: Traditional mesh generation approaches are labor intensive and have limited robustness when applied to parametric design exploration and optimization of complex geometries. While automatic mesh generation approaches exist, they tend to generate tetrahedral or mixed-hybrid meshes which are generally unsuitable for physics applications with strong shock waves, thin boundary layers, and strong gradients. In addition, simulations sizes in the billions of cells are becoming more common with traditional mesh generation methods quickly reaching scalability limits. Solution: CrossLink offers a topology-based mesh generation approach with unstructured block-filling methods and a scalable mesh generation engine. In addition, CrossLink incorporates a python-based API for seamless workflow integration and robust repeatability of the geometry handling and mesh generation process. This makes it ideal for parametric design study and optimization of complex geometries. Finally, future versions of CrossLink will offer a parametric mesh capability that optimizes a high-order mesh and enables reconstruction of the final mesh in memory by the physics solver.

• Research Organization: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: 89233218CNA000001
• OSTI ID: 1922746
• Report Number(s): LA-UR-23-20857
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING
Mesh Generation
Mesh Optimization
Topology-Based Meshing