An analytical model is presented for approximate prediction of the waveform and the sound level spectrum of blast waves generated by explosives and firearms. The model is based on numerical results for spherical blast waves, with overpressures between 10 kPa and 100 MPa, and a nonlinear propagation theory for blast waves. The matching of the numerical results and the nonlinear propagation theory is investigated, and compared with results from the literature and results of calculations with a nonlinear propagation model. The analytical model presented here assumes a Friedlander waveform, from which formulas are derived for the 1/3-octave band spectrum of the sound exposure level. The formulas take into account the nonlinear effect of pulse broadening, and the corresponding frequency shift. For firearms, the muzzle blast levels vary in general with the emission direction, and the model takes into account an empirical directivity correction. Apart from the directivity correction, the model has no empirical parameters. The waveform and the spectrum follow directly from the explosion energy or the explosive charge mass. Model predictions are in good agreement with measurement results of explosives and firearms, with the explosive charge mass ranging from 0.4 g to 4 kg TNT.
Skip Nav Destination
Article navigation
September 2024
September 26 2024
Analytical model for sound of explosives and firearms
E. M. Salomons
E. M. Salomons
a)
TNO Acoustic Signatures & Noise Control
, Oude Waalsdorperweg 63, 2597 AK, The Hague, The Netherlands
Search for other works by this author on:
a)
Electronic mail: [email protected]
J. Acoust. Soc. Am. 156, 2034–2044 (2024)
Article history
Received:
July 04 2024
Accepted:
September 09 2024
Citation
E. M. Salomons; Analytical model for sound of explosives and firearms. J. Acoust. Soc. Am. 1 September 2024; 156 (3): 2034–2044. https://doi.org/10.1121/10.0030301
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
143
Views
Citing articles via
A survey of sound source localization with deep learning methods
Pierre-Amaury Grumiaux, Srđan Kitić, et al.
Variation in global and intonational pitch settings among black and white speakers of Southern American English
Aini Li, Ruaridh Purse, et al.
Related Content
Variations in recorded acoustic gunshot waveforms generated by small firearms
J. Acoust. Soc. Am. (April 2011)
Can hearing protector attenuation measures for impulsive noise be applied to firearm suppressors?
Proc. Mtgs. Acoust. (October 2023)
Measuring recreational firearm noise.
J Acoust Soc Am (March 2010)
Developing a method to assess noise reduction of firearm suppressors for small-caliber weapons
Proc. Mtgs. Acoust. (December 2019)
Acoustic firearm discharge detection and classification in an enclosed environment
J. Acoust. Soc. Am. (May 2016)