A systematic literature review on Lattice Boltzmann Method applied to acoustics

被引:4
作者
Bocanegra, Johan Augusto [1 ]
Misale, Mario [1 ]
Borelli, Davide [1 ]
机构
[1] Univ Genoa, DIME Dept Mech Energet Management & Transportat, Thermal Engn & Environm Conditioning Div, Via AllOpera Pia 15-A, I-16145 Genoa, Italy
关键词
LBM; Discrete methods; Sound; Noise; Wave; CEAS-ASC REPORT; HEAT-TRANSFER; SOUND GENERATION; OPEN-END; AEROACOUSTICS RESEARCH; NUMERICAL-SIMULATION; THERMAL-CONDUCTIVITY; NOISE PREDICTION; BGK SIMULATION; FLOW;
D O I
10.1016/j.enganabound.2023.11.007
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The Lattice Boltzmann Method (LBM) can be applied to several fluid dynamic problems in the time domain. This numerical method indirectly solves the Navier-Stokes equations in a weakly compressible limit that allows acoustic wave propagation. This work presents a systematic literature review concerning the application of the LBM in acoustics. Applications found in the literature are classified and presented in different categories, including wave theory, boundary conditions, sound absorption materials, aeroacoustics, and musical acoustics. The increasing amount of research in recent years about aeroacoustics is remarkable, thanks to the intrinsically coupled treatment of the acoustical field and the mean flow, the potential of studying different wave phenomena such as diffraction and scattering, the easy way to model complex geometric boundaries in 2D and 3D, and finally thanks to the increasing available computational power. Some examples were included to illustrate the LBM capabilities to simulate sound wave phenomena, including point source modeling, diffraction and interference of sound waves, jet noise, and edge noise. This work will give a retrospective of the research developed in the past and a perspective on how this numerical method might evolve in the acoustical field.
引用
收藏
页码:405 / 429
页数:25
相关论文
共 169 条
  • [1] Adam J.-L., 2008, J. Acoust. Soc. Am., V123, P3250, DOI [10.1121/1.2933531, DOI 10.1121/1.2933531]
  • [2] Adam J-L, 2009, 15 AIAACEAS AEROACOU, DOI [10.2514/6.2009-3182, DOI 10.2514/6.2009-3182]
  • [3] Deep Learning Surrogate for the Temporal Propagation and Scattering of Acoustic Waves
    Alguacil, Antonio
    Bauerheim, Michael
    Jacob, Marc C.
    Moreau, Stephane
    [J]. AIAA JOURNAL, 2022, 60 (10) : 5890 - 5906
  • [4] Predicting the propagation of acoustic waves using deep convolutional neural networks
    Alguacil, Antonio
    Bauerheim, Michael
    Jacob, Marc C.
    Moreau, Stephane
    [J]. JOURNAL OF SOUND AND VIBRATION, 2021, 512
  • [5] Lattice Boltzmann application to nanofluids dynamics-A review
    Aliu, Oluwaseyi
    Sakidin, Hamzah
    Foroozesh, Jalal
    Yahya, Noorhana
    [J]. JOURNAL OF MOLECULAR LIQUIDS, 2020, 300
  • [6] [Anonymous], 2016, Proceedings of the fourth international conference on technological ecosystems for enhancing multiculturality
  • [7] Noise reduction mechanisms of sawtooth and combed-sawtooth trailing-edge serrations
    Avallone, F.
    van der Velden, W. C. P.
    Ragni, D.
    Casalino, D.
    [J]. JOURNAL OF FLUID MECHANICS, 2018, 848 : 560 - 591
  • [8] Ayub M, 2013, P ACOUSTICS 2013 VIC, P8
  • [9] Ayub M, 2011, P ACOUSTICS 2011, P9
  • [10] Effect of viscosity on stability and accuracy of the two-component lattice Boltzmann method with a multiple-relaxation-time collision operator investigated by the acoustic attenuation model
    Bai, Le
    Shan, Ming-Lei
    Yang, Yu
    Su, Na-Na
    Qian, Jia-Wen
    Han, Qing-Bang
    [J]. CHINESE PHYSICS B, 2022, 31 (03)