Generation of Curved Meshes for the High-Lift Common Research Model
Eloi Ruiz-Giron\'es, Xevi Roca

TL;DR
This paper demonstrates the rapid generation of high-quality curved meshes for complex geometries, specifically the high-lift common research model, using a parallel implementation that significantly reduces processing time.
Contribution
It introduces a scalable parallel approach for generating curved meshes for complex geometries, addressing the bottleneck of input preparation.
Findings
Parallel implementation reduces mesh generation time from days to minutes.
Generated meshes meet quality criteria for high-lift research applications.
Feasibility of curved mesh generation for complex geometries is confirmed.
Abstract
We answer the questions of the high-order technology focus group (HO-TFG) about the mesh generation for the high-lift common research model of the 4-th high-lift prediction workshop. The HO-TFG seeks answers about the feasibility of generating meshes for complex geometries, and how to measure the quality of different aspects of the mesh. To answer these questions, we first generate several curved meshes and then, we analyze different aspects of the curved mesh and perform a visual inspection. The main bottleneck of our curving methodology is the preparation of curving-friendly inputs, a process that can take several days for complex geometries. Our distributed parallel implementation executed with 768 processors is able to curve the presented meshes in minutes.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
