Reuse & Permissions

It is not necessary to obtain permission to reuse this article or its components as it is available under the terms of the Creative Commons Attribution 4.0 International license. This license permits unrestricted use, distribution, and reproduction in any medium, provided attribution to the author(s) and the published article's title, journal citation, and DOI are maintained. Please note that some figures may have been included with permission from other third parties. It is your responsibility to obtain the proper permission from the rights holder directly for these figures.

Export citation

Export citation

Choose format for download:

Download Citation
  • Open Access

Development of a frequency-domain model for the aerodynamic flow through volume-averaged porous media

Olivier Moriaux*, Riccardo Zamponi†, and Daniele Ragni

Francesco Avallone‡

  • Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, Turin, 10129 Piedmont, Italy

  • *Contact author: o.k.m.moriaux@tudelft.nl
  • †Also at Department of Environmental and Applied Fluid Dynamics, von Karman Institute for Fluid Dynamics, 1640 Sint-Genesius-Rode, Belgium.
  • ‡Also at Department of Flow Physics and Technology, Delft University of Technology, Delft, 2629HS South Holland, The Netherlands.

Phys. Rev. Fluids 11, 104611 – Published 23 October, 2026

DOI: https://doi.org/10.1103/4p9h-fwmv

Abstract

The aeroacoustic design of porous trailing-edge inserts for wind turbine noise attenuation requires knowledge of the penetration depth of pressure fluctuations into the porous material. Computationally efficient modeling of the attenuation of unsteady pressure and velocity fluctuations within porous materials will enable improved trailing-edge noise attenuation while minimizing aerodynamic performance loss. Steady models fail to capture the frequency dependence of the attenuation of these fluctuations through the material, while high-fidelity unsteady scale-resolved porous medium models are computationally too expensive for the early-stage design phase. In this study, high-fidelity simulations of a porous material sample subjected to low-amplitude modal inflows are used to evaluate the accuracy of the unsteady Darcy model, which is proposed to fill the gap between high-fidelity unsteady simulations and the steady models for porous medium flows. Two important regimes are identified when considering the local conversion of pressure fluctuations into velocity fluctuations, separated in the frequency domain by a critical frequency. For the investigated porous material and flow conditions, the Strouhal number separating these regimes lies between 0.6 and 1.3, based on the inflow velocity and porous skeleton strut diameter. Above this critical number, pressure and velocity fluctuation attenuation closely follow the unsteady Darcy model. Below this critical number, the local response of the flow features a strong spatial variation throughout the porous sample. In future research, the underlying mechanism affecting the presence of these spatial variations in the low frequencies will be investigated.

View figure in article

Physics Subject Headings (PhySH)

Article Text

References (51)

  1. S. Oerlemans, P. Sijtsma, and B. Méndez López, Location and quantification of noise sources on a wind turbine, J. Sound Vib. 299, 869 (2007).
  2. A. Rubio Carpio, F. Avallone, D. Ragni, M. Snellen, and S. van der Zwaag, Mechanisms of broadband noise generation on metal foam edges, Phys. Fluids 31, 105110 (2019).
  3. C. Teruna, F. Avallone, D. Ragni, A. Rubio-Carpio, and D. Casalino, Numerical analysis of a 3-D printed porous trailing edge for broadband noise reduction, J. Fluid Mech. 926, A17 (2021).
  4. C. Teruna, Aerodynamic noise reduction with porous materials: Aeroacoustics investigations and applications, Ph.D. thesis, Technische Universiteit Delft, HS Delft (2022).
  5. O. Moriaux and R. Zamponi, A benchmark dataset for the grazing flow over porous materials (Version 3) [Dataset], Zenodo, 2025, https://doi.org/10.5281/zenodo.15044105.
  6. S. Luesutthiviboon, D. Ragni, F. Avallone, and M. Snellen, An alternative permeable topology design space for trailing-edge noise attenuation, Int. J. Aeroacoust. 20, 221 (2021).
  7. A. Rubio Carpio, R. Merino Martínez, F. Avallone, D. Ragni, M. Snellen, and S. van der Zwaag, Experimental characterization of the turbulent boundary layer over a porous trailing edge for noise abatement, J. Sound Vib. 443, 537 (2019).
  8. T. F. Geyer and E. Sarradj, Trailing edge noise of partially porous airfoils, in 20th AIAA/CEAS Aeroacoustics Conference (American Institute of Aeronautics and Astronautics, Atlanta, GA, 2014), p. 3039.
  9. Y. Kuwata and K. Suga, Extensive investigation of the influence of wall permeability on turbulence, Int. J. Heat Fluid Flow 80, 108465 (2019).
  10. C. Teruna, F. Manegar, F. Avallone, D. Ragni, D. Casalino, and T. Carolus, Noise reduction mechanisms of an open-cell metal-foam trailing edge, J. Fluid Mech. 898, A18 (2020).
  11. S. Whitaker, The Forchheimer equation: A theoretical development, Transp. Porous Media 25, 27 (1996).
  12. B. D. Wood, X. He, and S. V. Apte, Modeling turbulent flows in porous media, Annu. Rev. Fluid Mech. 52, 171 (2020).
  13. W. P. Breugem, The influence of wall permeability on laminar and turbulent flows: Theory and simulations, Ph.D. Thesis, Delft University of Technology, 2005.
  14. M. Jadidi, A. Revell, and Y. Mahmoudi, Pore-scale large eddy simulation of turbulent flow and heat transfer over porous media, Appl. Therm. Eng. 215, 118916 (2022).
  15. H. Darcy, Les Fontaines Publiques De La Ville De Dijon : Exposition Et Application Des Principes a Suivre Et Des Formules a Employer Dans Les Questions De Distribution D'eau; Ouvrage Terminé Par Un Appendice Relatif Aux Fournitures D'eau De Plusieurs Villes Au Filtrage Des Eaux Et A La Fabrication Des Tuyaux De Fonte, De Plomb, De Tole Et De Bitume (Victor Dalmont, Libraire des Corps imperiaux des ponts et chaussées et des mines, Paris, 1856).
  16. K. R. Hall, G. M. Smith, and D. J. Turcke, Comparison of oscillatory and stationary flow through porous media, Coastal Eng. 24, 217 (1995).
  17. R. J. Lowe, J. R. Koseff, and S. G. Monismith, Oscillatory flow through submerged canopies: 1. Velocity structure, J. Geophys. Res.: Oceans 110, 2004JC002788 (2005).
  18. T. Zhu and M. Manhart, Oscillatory Darcy flow in porous media, Transp. Porous Media 111, 521 (2016).
  19. D. Lasseux, F. J. Valdés-Parada, and F. Bellet, Macroscopic model for unsteady flow in porous media, J. Fluid Mech. 862, 283 (2019).
  20. D. L. Johnson, J. Koplik, and R. Dashen, Theory of dynamic permeability and tortuosity in fluid-saturated porous media, J. Fluid Mech. 176, 379 (1987).
  21. Z. Gu and H. Wang, Gravity waves over porous bottoms, Coastal Eng. 15, 497 (1991).
  22. R. J. Lowe, U. Shavit, J. L. Falter, J. R. Koseff, and S. G. Monismith, Modeling flow in coral communities with and without waves: A synthesis of porous media and canopy flow approaches, Limnol. Oceanogr. 53, 2668 (2008).
  23. T. Zhu, Unsteady porous-media flows, Ph.D. thesis, Technische Universität München, Munich, 2016.
  24. S. B. G. Blanquer, M. Werner, M. Hannula, S. Sharifi, G. P. R. Lajoinie, D. Eglin, J. Hyttinen, A. A. Poot, and D. W. Grijpma, Surface curvature in triply-periodic minimal surface architectures as a distinct design parameter in preparing advanced tissue engineering scaffolds, Biofabrication 9, 025001 (2017).
  25. T. P. Hunter, F. Avallone, N. A. K. Doan, and D. Ragni, Aerodynamic characterisation of communicating turbulent boundary layers through a porous medium subjected to a pressure differential, in 30th AIAA/CEAS Aeroacoustics Conference (American Institute of Aeronautics and Astronautics, Rome, Italy, 2024), p. 3049.
  26. O. K. Moriaux, R. Zamponi, S. Satcunanathan, M. Meinke, and W. Schroeder, Experimental and numerical investigation of the turbulent boundary layer of a grazing flow over porous materials, in 30th AIAA/CEAS Aeroacoustics Conference (American Institute of Aeronautics and Astronautics, Rome, Italy, 2024), p. 3050.
  27. C. Teruna, L. Rego, F. Avallone, D. Ragni, and D. Casalino, Applications of the multilayer porous medium modeling approach for noise mitigation, J. Aerospace Eng. 34, 04021074 (2021).
  28. R. Zamponi, F. Avallone, D. Ragni, C. Schram, and S. van der Zwaag, Relevance of quadrupolar sound diffraction on flow-induced noise from porous-coated cylinders, J. Sound Vib. 583, 118430 (2024).
  29. Dassault Systemes, PowerFLOW 2022 user's guide (2024), https://www.3ds.com/support/documentation/powerflow-2022-product-documentation-and-installation-guides.
  30. ANSYS, Inc., Fluent 2024 R2: Fluent Theory Guide (ANSYS, Canonsburg, PA, 2024), Chap. 4.3.2. RNG k-ε Model.
  31. S. B. Pope, The scales of turbulent motion, in Turbulent Flows (Cambridge University Press, Cambridge, UK, 2000), pp. 182–263.
  32. T. P. Hunter, F. Avallone, N. A. K. Doan, and D. Ragni, Characterization of communicating turbulent grazing flows through a resolved porous medium, Flow, Turbul. Combust. 116, 10 (2026).
  33. F. Avallone, W. C. P. van der Velden, D. Ragni, and D. Casalino, Noise reduction mechanisms of sawtooth and combed-sawtooth trailing-edge serrations, J. Fluid Mech. 848, 560 (2018).
  34. Q. Liao, G. Li, J. Li, L. Xue, S. Tian, and X. Song, Convergence analysis of lattice Boltzmann method for Stokes flow in digital rock characterization, Geoenergy Sci. Eng. 230, 212161 (2023).
  35. K. Hoefnagel, D. Casalino, S. Hulshoff, and F. de Prenter, A second-order volumetric boundary treatment for the lattice Boltzmann method, SSRN (2025).
  36. R. Zamponi, D. Ragni, S. van der Zwaag, and F. Avallone, Innovative coatings for reducing flow-induced cylinder noise by altering the sound diffraction, Phys. Fluids 35, 127120 (2023).
  37. M. Quintard and S. Whitaker, Transport in ordered and disordered porous media II: Generalized volume averaging, Transp. Porous Media 14, 179 (1994).
  38. H. Vold, J. Crowley, and G. T. Rocklin, A comparison of H1, H2, Hv frequency response functions, in Proceedings of the 3rd International Modal Analysis Conference, Orlando, Florida, USA (Union College, Schenectady, NY, USA, 1985), pp. 272–278.
  39. P. Virtanen, R. Gommers, T. E. Oliphant, M. Haberland, T. Reddy, D. Cournapeau, E. Burovski, P. Peterson, W. Weckesser, J. Bright, S. J. van der Walt, M. Brett, J. Wilson, K. Jarrod Millman, N. Mayorov, A. R. J. Nelson, E. Jones, R. Kern, E. Larson, C. J. Carey, et al., SciPy 1.0: Fundamental algorithms for scientific computing in Python, Nat. Methods 17, 261 (2020).
  40. J. L. Shearer, Electric network analog study of viscous flow normal to parallel, evenly spaced cylinders, Text. Res. J. 29, 467 (1959).
  41. V. Etminan, R. J. Lowe, and M. Ghisalberti, Canopy resistance on oscillatory flows, Coastal Eng. 152, 103502 (2019).
  42. F. He, S. Draper, M. Ghisalberti, H. An, and P. Branson, Predicting mean flow through an array of cylinders, Geophys. Res. Lett. 51, e2024GL110164 (2024).
  43. B. M. Sumer and J. Fredsøe, Hydrodynamics Around Cylindrical Structures, revised ed. (World Scientific, Singapore, 2006).
  44. Y. Zhao and Y. Shi, Characterization of flow separation around inline cylinders within oscillatory flow, Shock Vibration 2018, 7569432 (2018).
  45. A. A. Roshko, On the Development of Turbulent Wakes from Vortex Streets, Technical Note 2913 (California Institute of Technology, Washington, DC, 1952).
  46. H. Jiang and L. Cheng, Strouhal–Reynolds number relationship for flow past a circular cylinder, J. Fluid Mech. 832, 170 (2017).
  47. R. Zamponi, S. Moreau, and C. Schram, Rapid distortion theory of turbulent flow around a porous cylinder, J. Fluid Mech. 915, A27 (2021).
  48. O. Moriaux, A numerical dataset for low Reynolds number unidirectional oscillating flow through a porous material, (Version 1) [Dataset], Zenodo, 2026, https://doi.org/10.5281/zenodo.19062948.
  49. L. Mulatu, A. Wilkins, A. Chowdhury, and C. Franklin, A note on solving nonlinear differential equations using modified Laplace decomposition method, IJRDO 5, 12 (2019).
  50. Wolfram Research, Inc., Mathematica, version 14.3 (Champaign, Illinois, 2025).
  51. J.-S. Duan, An efficient algorithm for the multivariable Adomian polynomials, Appl. Math. Comput. 217, 2456 (2010).

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation