Analysis and improvement of the lattice Boltzmann modeling of rotating channel flows

• Autor(a) principal: Silva, Goncalo
• Data de Publicação: 2022
• Tipo de documento: Artigo de conferência
• Idioma: por
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10174/32745

The lattice Boltzmann method (LBM) is recognised as a well-established numerical technique, capable of solving a wide variety of fluid flow problems. This talk will focus on a very specific application: the LBM modeling of rotating channel flows. Despite the apparent simplicity of the problem, current CFD commercial codes still show difficulties in solving it, and LBM is also no exception. The goal of this presentation is to tackle this problem, starting from a standard LBM-BGK model subject to a popular forcing scheme and, taking a step-by-step analysis based on simple numerical examples, progressively reveal which difficulties the method is expected to face and which strategies can be adopted to overcome them. The points of analysis will cover almost every element of the LBM algorithm, namely: 1. LBM collision model: Is a single-relaxation-time model (LBM-BGK) able to support physically consistent numerical solutions? Why a two-relaxation-time model (LBM-TRT) should be seriously considered as alternative? 2. LBM forcing model: Is the popular Guo et al. forcing model able to reproduce consistent external forces in incompressible hydrodynamics? Should we be expecting the inevitable presence of LBM force errors? What are their consequences? Is there any strategy to correct/mitigate them? 3. LBM lattice and equilibrium models: Do all cubic lattices (D3Q15, D3Q19 and D3Q27) perform identically, taking the same equilibrium? What might explain the differences? Can we correct them by tailoring the equilibrium to the lattice? The focus of the talk will be dedicated to answering each of these questions and, at the same time, providing an improved LBM scheme, capable of competing (or even outperforming) state-of-the-art CFD second-order strategies typically used in this problem class.