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Related Experiment Video

Updated: Aug 22, 2025

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
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A Simplified Linearized Lattice Boltzmann Method for Acoustic Propagation Simulation.

Qiaochu Song1, Rongqian Chen1, Shuqi Cao1

  • 1School of Aerospace Engineering, Xiamen University, Xiamen 361005, China.

Entropy (Basel, Switzerland)
|November 11, 2022
PubMed
Summary
This summary is machine-generated.

A new simplified linearized lattice Boltzmann method (SLLBM) efficiently simulates acoustic wave propagation in fluids. This method simplifies calculations and reduces memory costs for acoustic disturbance and mean flow simulations.

Keywords:
computational aeroacousticsimmersed boundary methodsimplified linearized lattice Boltzmann method

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Area of Science:

  • Fluid dynamics
  • Acoustics
  • Computational physics

Background:

  • Linearized lattice Boltzmann method (LLBM) is used for acoustic wave simulations.
  • Simulating acoustic wave propagation in fluids with mean flow presents challenges.

Purpose of the Study:

  • To propose a simplified linearized lattice Boltzmann method (SLLBM) for fluid acoustics.
  • To enhance computational efficiency and reduce memory requirements for acoustic simulations.

Main Methods:

  • Derivation of SLLBM from linearized lattice Boltzmann equation using Chapman-Enskog expansion.
  • Application of fractional-step technique for predictor-corrector steps.
  • Integration with immersed boundary method (IBM) for complex geometries.

Main Results:

  • SLLBM separates acoustic disturbance and mean flow calculations.
  • Achieved simpler computation and reduced memory cost compared to LLBM.
  • Successfully simulated acoustic scattering with complex geometries by combining SLLBM and IBM.

Conclusions:

  • SLLBM is a feasible and efficient method for simulating acoustic wave propagation in fluids, even under mean flow conditions.
  • The method offers advantages in computational simplicity and memory efficiency.
  • The combined SLLBM-IBM approach is effective for complex acoustic scattering problems.