Skip to main content
Log in

Numerical calculation of the phase of complex acoustic impedance of air in a cylindrical closed volume

  • Published:
Measurement Techniques Aims and scope

Abstract

The paper discusses one of the aspects of calibration of the equipment for measuring acoustic pressure in air. To measure complex sensitivity of LS-type microphones during primary pressure calibration (by using a reciprocity or a pistonphone method), it is necessary to theoretically determine the complex acoustic impedance of air within a cylindrical closed volume with absolutely rigid walls. The adiabatic approximation was used as the first step in determining the acoustic impedance of air inside the specified closed volume. However, according to various experimental and theoretical studies, adiabatic approximation is only applicable within a relatively narrow frequency range, while the calibration results can also be affected by other significant factors. Such factors include heat exchange between air inside the cylindrical closed volume and ambient air (through the walls of this volume), as well as reflected waves that appear at high frequencies (depending on how the sound wavelength compares to the length of the closed volume). To study these factors, numerical simulation is proposed. The numerical algorithm is based on the regularized Navier-Stokes equations with quasi-gas-dynamic closure, and accounts for the viscosity, thermal conductivity, and compressibility of air. The phase of the complex acoustic impedance of air in a closed volume with heat-conducting and heat-insulated walls has been characterized. The study results are relevant for both the calibration of measurement microphones at low and infrasound frequencies by using the pressure reciprocity and pistonphone methods, and for studying acoustic processes in liquid and gaseous media using numerical modeling, since these results show the applicability of the model used for numerical calculation. Measurement devices that receive the unit of acoustic pressure in air from the measurement microphones, calibrated by the primary method, are used, for example, to monitor noise from various sources (industrial activity, transport), to monitor noise inside residential and industrial buildings, and to study geophysical phenomena (low-frequency sound oscillations in the atmosphere caused by daily and semi-daily variations in atmospheric pressure, atmospheric currents, tsunamis, volcanic eruptions, etc.).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Notes

  1. IEC 61094-1:2000, Measurement microphones—Part 1: Specifications for laboratory standard microphones.

  2. IEC 61094-2:2009+AMD1:2022 CSV, Electroacoustics—Measurement microphones—Part 2: Primary method for pressure calibration of laboratory standard microphones by the reciprocity technique.

References

  1. Golovin, D.V.: Meas. Tech. 65(11), 858–865 (2023). https://doi.org/10.1007/s11018-023-02161-5

    Article  Google Scholar 

  2. Kharkevich, A.A.: “Opredelenie primenimosti metoda nasosa,” [in Russian], Trudy Akusticheskoj Komissii [Proceedings of the acoustical. commission, vol. 1., pp. 74–79 (1939)

    Google Scholar 

  3. S. Ballantine, Journal of the Acoustical Society of America, 3, 1A_supplement, 8 (1931). https://doi.org/10.1121/1.1901925

  4. Daniels, F.B.: J. Acoust. Soc. Am. 19(4), 569–571 (1947). https://doi.org/10.1121/1.1916522

    Article  ADS  Google Scholar 

  5. Rusakov, I.G.: “Termodinamicheskaia popravka v metode nasosa” [in Russian], Trudy Akusticheskoj Komissii [Proceedings of the acoustical. commission, vol. 8., pp. 76–81 (1955)

    Google Scholar 

  6. Burkhard, M.D., Biagi, F., Cook, R.K., Corliss, E.L.R., Koidan, W.: J. Acoust. Soc. Am. 26(5), 935–936 (1954). https://doi.org/10.1121/1.1927953

    Article  ADS  Google Scholar 

  7. Gerber, H.: J. Acoust. Soc. Am. 36(8), 1427–1434 (1964). https://doi.org/10.1121/1.1919219

    Article  ADS  Google Scholar 

  8. Vincent, P., Rodrigues, D., Larsonnier, F.: Metrologia 56(1), 15003 (2019). https://doi.org/10.1088/1681-7575/aaee28

    Article  ADS  Google Scholar 

  9. Isaev, A.E., Polikarpov, A.M., Hatamtaev, B.I.: “Approaches to the amplitude-phase calibration of a hydrophone by the reciprocity method” [in Russian], Almanac of Modern Metrology. No 4(32), 140–150 (2022)

    Google Scholar 

  10. Volkov, K.N., Iu, N.: Deriugin, V.N. Emelianov, et al., Metody Uskoreniia Gazodinamicheskikh Raschetov na Nestryktyrirovannykh Setkakh [Methods of Acceleration of Gas Dynamic Calculations on Unstructured Grids] [in Russian. Fizmatlit, Publ., Moscow (2014)

    Google Scholar 

  11. Abalakin, I.V., Bobkov, V.G., Kozubskaya, T.K.: Mathematical Models and Computer Simulations. No 9, 688–696 (2017). https://doi.org/10.1134/S2070048217060023

    Article  Google Scholar 

  12. Turkel, E.: Annual Review of Fluid. Mechanics, vol. 31., pp. 385–416 (1999). https://doi.org/10.1146/annurev.fluid.31.1.385

    Book  Google Scholar 

  13. A.J. Chorin, Journal of Computational Physics, 2, 1, 12–26 (1967). https://doi.org/10.1016/0021-9991(67)90037-X

  14. Rogers, S.E., Kwak, D., Kiris, C.: Aiaa J. 29(4), 603–610 (1991). https://doi.org/10.2514/3.10627

    Article  ADS  Google Scholar 

  15. S.E. Rogers and D. Kwak, Applied Numerical Mathematics, 8, 1, 43–64 (1991). https://doi.org/10.1016/0168-9274(91)90097-J

  16. P.L. Roe, Journal of Computational Physics, 43, 2, 357–372 (1981). https://doi.org/10.1016/0021-9991(81)90128-5

  17. Rieper, F.: J Comput Phys 230(13), 5263–5287 (2011). https://doi.org/10.1016/j.jcp.2011.03.025

    Article  ADS  MathSciNet  Google Scholar 

  18. Li, X.-S., Gu, C.-W.: J Comput Phys 227(10), 5144–5159 (2008). https://doi.org/10.1016/j.jcp.2008.01.037

    Article  ADS  MathSciNet  Google Scholar 

  19. Liou, M.-S., Steffen, C.J.: J Comput Phys 107(1), 23–39 (1993). https://doi.org/10.1006/jcph.1993.1122

    Article  ADS  MathSciNet  Google Scholar 

  20. Liou, M.-S.: J Comput Phys 129(2), 364–382 (1996). https://doi.org/10.1006/jcph.1996.0256

    Article  ADS  MathSciNet  Google Scholar 

  21. Liou, M.-S.: J Comput Phys 214(1), 137–170 (2006). https://doi.org/10.1016/j.jcp.2005.09.020

    Article  ADS  MathSciNet  Google Scholar 

  22. Elizarova, T.G.: Quasi-Gas Dynamic Equations. Springer, Berlin, Heidelberg (2009). https://doi.org/10.1007/978-3-642-00292-2

    Book  Google Scholar 

  23. Yu, V.: Sheretov, Dinamica Sploshnyh Sred pri Prostranstvenno-Vremennom Osrednenii [Dynamics of Continuous Environments with Space-Time Averaging] [in Russian], NITS “Reguliarnaia i haoticheskaia dinamica” Publ. Izhevsk, Moscow (2009)

    Google Scholar 

  24. Balashov, V.A., Savenkov, E.B.: Comput. Math. Math. Phys. 55, 1743–1751 (2015). https://doi.org/10.1134/S0965542515100061

    Article  MathSciNet  Google Scholar 

  25. D.V. Golovin, “Simulation of infrasound pistonphone” [in Russian], Proceedings of ISP RAS, 32, 5, 181–198 (2020).

  26. Golovin, D.V.: Mathematical Models and Computer Simulations. No 14, 419–426 (2022). https://doi.org/10.1134/S2070048222030061

    Article  Google Scholar 

Download references

Acknowledgements

The author is deeply grateful to T.G. Elizarova (Keldysh Institute of Applied Mathematics) for support and advice in carrying out this research.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to D. V. Golovin.

Ethics declarations

Conflict of interest

The author declares no conflict of interest.

Additional information

Translated from Izmeritel’naya Tekhnika, No. 9, pp. 59–65, September, 2023. Russian https://doi.org/10.32446/0368-1025it.2023-9-59-65.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Original article submitted August 15, 2023; approved after reviewing August 29, 2023; accepted for publication August 30, 2023.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Golovin, D.V. Numerical calculation of the phase of complex acoustic impedance of air in a cylindrical closed volume. Meas Tech 66, 708–716 (2023). https://doi.org/10.1007/s11018-024-02284-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11018-024-02284-3

Keywords

UDC

Navigation