Related Experiment Video
Updated: Feb 15, 2026

Preparation of Free-Surface Hyperbolic Water Vortices
Published on: July 28, 2023
Lattice Boltzmann model capable of mesoscopic vorticity computation
Cheng Peng1, Zhaoli Guo2, Lian-Ping Wang3
1Department of Mechanical Engineering, University of Delaware, Newark, Delaware 19716-3140, USA.
This study introduces a novel lattice Boltzmann method (LBM) model for accurate mesoscopic computation of vorticity and pressure gradients. The developed multiple-relaxation time LBM model achieves second-order accuracy, enhancing fluid dynamics simulations.
Area of Science:
- Computational Fluid Dynamics
- Mesoscopic Physics
- Numerical Analysis
Background:
- Standard lattice Boltzmann (LB) models offer second-order accuracy for strain-rate components.
- Existing LB models struggle to accurately compute vorticity and pressure gradients at the mesoscopic level.
Purpose of the Study:
- To design a multiple-relaxation time LB model capable of mesoscopic computation of velocity and pressure gradients.
- To achieve second-order accuracy for vorticity calculation within the LBM framework.
Main Methods:
- Development of a multiple-relaxation time LB model on a D3Q27 lattice.
- Detailed Chapman-Enskog analysis to derive constraints for isothermal Navier-Stokes equations.
- Analysis of nonequilibrium moments to enable mesoscopic computation of gradients.
Main Results:
- A novel LB model is designed, enabling second-order accurate mesoscopic vorticity computation.
- The model's accuracy is proven through asymptotic analysis.
- Successful validation in simulations of 3D decaying Taylor-Green flow, lid-driven cavity flow, and flow past a sphere.
Conclusions:
- Mesoscopic vorticity computation is achievable in LBM with sufficient degrees of freedom and model modifications.
- The developed model enhances the capabilities of LBM for fluid dynamics simulations.
- Mesoscopic vorticity computation is feasible even with a single relaxation parameter.
Related Concept Videos
Lattice Centering and Coordination Number
Types of Unit Cells
Imagine taking a large number of identical...
Trends in Lattice Energy: Ion Size and Charge
Bewley Lattice Diagram
Maxwell-Boltzmann Distribution: Problem Solving
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
Computed Tomography
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
Design Example: Traverse Angle Computations

