Development of a high-order generalized differential quadrature element method with thermal lattice Boltzmann flux solver for simulation of incompressible thermal flows

This paper presents a high-order generalized differential quadrature element (GDQE)-thermal lattice Boltzmann flux solver (TLBFS) for simulating incompressible thermal flows. The GDQE method partitions the computational domain into multiple elements, within which the GDQ technique is applied to approximate solution gradients and flux divergences via high-order polynomial interpolations. The TLBFS is then utilized to reconstruct the distribution functions of density and internal energy, enabling the simultaneous evaluation of inviscid and viscous fluxes. Numerical examples confirm that the present method is well-suited for handling thermal flow problems with curved boundaries and complex geometry on arbitrary meshes, while achieving good solution accuracy and computational efficiency. The good performance also suggests the great potential in solving practical thermal flow problems.

Authors

Institutions

Publication Details

Journal
Physics of Fluids
Published
2026-05-01
DOI
https://doi.org/10.1063/5.0316793
Primary Topic
Lattice Boltzmann Simulation Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a high-order generalized differential quadrature element method with thermal lattice Boltzmann flux solver for simulation of incompressible thermal flows

Yuxin Song, Yang Xiao, Yaguang Liu, Liming Yang et al.
Physics of Fluids
Lattice Boltzmann Simulation Studies
article

Development of a high-order generalized differential quadrature element method with thermal lattice Boltzmann flux solver for simulation of incompressible thermal flows

Yuxin Song, Yang Xiao, Yaguang Liu, Liming Yang, Chang Shu, Yinjie Du
article en

Abstract

This paper presents a high-order generalized differential quadrature element (GDQE)-thermal lattice Boltzmann flux solver (TLBFS) for simulating incompressible thermal flows. The GDQE method partitions the computational domain into multiple elements, within which the GDQ technique is applied to approximate solution gradients and flux divergences via high-order polynomial interpolations. The TLBFS is then utilized to reconstruct the distribution functions of density and internal energy, enabling the simultaneous evaluation of inviscid and viscous fluxes. Numerical examples confirm that the present method is well-suited for handling thermal flow problems with curved boundaries and complex geometry on arbitrary meshes, while achieving good solution accuracy and computational efficiency. The good performance also suggests the great potential in solving practical thermal flow problems.

Physics of FluidsVol. 38(5)
National University of Singapore (SG), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China, China Scholarship Council
Affordable and clean energy
Openalex Percentile: Top 7%
Lattice Boltzmann Simulation Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Development of a high-order generalized differential quadrature element method with thermal lattice Boltzmann flux solver for simulation of incompressible thermal flows — Yuxin Song, Yang Xiao, et al. · Physics of Fluids (2026) | TGRS Research Map | TGRS