A variational approach to high-order r-adaptation

01/04/2019
by   Julian Marcon, et al.
0

A variational framework, initially developed for high-order mesh optimisation, is being extended for r-adaptation. The method is based on the minimisation of a functional of the mesh deformation. To achieve adaptation, elements of the initial mesh are manipulated using metric tensors to obtain target elements. The nonlinear optimisation in turns adapts the final high-order mesh to best fit the description of the target elements by minimising the element distortion. Encouraging preliminary results prove that the method behaves well and can be used in the future for more extensive work which shall include the use of error indicators from CFD simulations.

READ FULL TEXT

page 4

page 5

research
07/15/2023

Local Element Operations for Curved Simplex Meshes

Mesh optimization procedures are generally a combination of node smoothi...
research
05/24/2022

Accelerating High-Order Mesh Optimization Using Finite Element Partial Assembly on GPUs

In this paper we present a new GPU-oriented mesh optimization method bas...
research
09/24/2019

rp-adaptation for compressible flows

We present an rp-adaptation strategy for the high-fidelity simulation of...
research
06/14/2023

A reinforcement learning strategy for p-adaptation in high order solvers

Reinforcement learning (RL) has emerged as a promising approach to autom...
research
01/29/2020

Interplay between diffusion anisotropy and mesh skewness in Hybrid High-Order schemes

We explore the effects of mesh skewness on the accuracy of standard Hybr...
research
01/04/2019

High-order curvilinear hybrid mesh generation for CFD simulations

We describe a semi-structured method for the generation of high-order hy...
research
01/08/2022

Parallel Metric-Based Mesh Adaptation in PETSc using ParMmg

This research note documents the integration of the MPI-parallel metric-...

Please sign up or login with your details

Forgot password? Click here to reset