Industrial scale large eddy simulations (LES) with adaptive octree meshes using immersogeometric analysis

TL;DR

This paper introduces an efficient, scalable immersed boundary method with adaptive octree meshes for large-eddy simulations of complex flows, enabling high-fidelity results on supercomputers for diverse applications.

Contribution

It develops a novel immersed boundary approach integrated with adaptive octree meshes, achieving high scalability and accuracy for LES of complex geometries.

Findings

Successfully simulated flow around a sphere across Reynolds numbers 1-10^6.

Achieved scalable LES computations up to 32,768 processors.

Accurately modeled flow features in semi-truck platooning scenarios.

Abstract

We present a variant of the immersed boundary method integrated with octree meshes for highly efficient and accurate Large-Eddy Simulations (LES) of flows around complex geometries. We demonstrate the scalability of the proposed method up to $\mathcal{O}(32K)$ processors. This is achieved by (a) rapid in-out tests; (b) adaptive quadrature for an accurate evaluation of forces; (c) tensorized evaluation during matrix assembly. We showcase this method on two non-trivial applications: accurately computing the drag coefficient of a sphere across Reynolds numbers $1-10^6$ encompassing the drag crisis regime; simulating flow features across a semi-truck for investigating the effect of platooning on efficiency.