Acoustic test for the sloshing noise in a tank

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SUMMARY

The discussion centers on conducting acoustic experiments to measure sloshing noise in a tank. The user seeks methods to calculate average noise levels from time series data, specifically using Riemann sums for integration. Recommendations include utilizing a calibrated microphone, such as the Brüel & Kjær setup, for accurate sound pressure level (SPL) measurements, and performing a Fourier transform to analyze frequency information. The conversation emphasizes the importance of relative measurements over absolute values for this application.

PREREQUISITES
  • Understanding of acoustic measurement techniques
  • Familiarity with Riemann sums for numerical integration
  • Knowledge of Fourier transforms for signal analysis
  • Experience with statistical software for data comparison
NEXT STEPS
  • Research methods for calculating average noise levels using Riemann sums
  • Learn about the Brüel & Kjær microphone setup for accurate SPL measurements
  • Explore Fourier transform techniques for analyzing acoustic signals
  • Investigate statistical software options for comparing acoustic test results
USEFUL FOR

Acoustic engineers, researchers conducting fluid dynamics experiments, and anyone involved in noise measurement and analysis in experimental settings.

georgeous678
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I am currently doing an acoustic experiment, testing the sloshing noise made by the fluid content in a tank. My software and microphone gives me all the outputs from the sloshing noise but not the loudness calculation. I am needing a figure for every test to key into my statistical software and compare all my different results. How do I calculate the average noise? or even better a certain point in the noise from the time series graph?
 
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georgeous678 said:
I am currently doing an acoustic experiment, testing the sloshing noise made by the fluid content in a tank. My software and microphone gives me all the outputs from the sloshing noise but not the loudness calculation. I am needing a figure for every test to key into my statistical software and compare all my different results. How do I calculate the average noise? or even better a certain point in the noise from the time series graph?

Integrate the absolute values of the graph using Riemann sums between two time intervals and divide by the difference in time?

I don't know of any software that does things like that however. But you could write a little script or something I dunno.
 
This could be a pretty cool experiment. Measuring absolute SPL values requires (AFAIK) a calibrated microphone, I've used a Brüel & Kjær setup. That's probably overkill for your application- I would work with relative measurements rather than absolute.

Surely you can calculate the average signal from your data- but don't toss away any frequency information: do a Fourier transform on the signal to get a spectrum, I bet that will be interesting, too.
 

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