Uncertainty of room mode frequencies

AI Thread Summary
The discussion focuses on the complexities of calculating uncertainties in acoustical analysis for a rock/pop performance venue. The user is uncertain about how to handle integer values in their main equation and the implications of using 1/x in uncertainty calculations. They seek guidance on managing uncertainties when dealing with square roots of multiple values and how to calculate the uncertainty for a mid-frequency reverberation time based on two sets of measurements. The user has made progress in understanding these concepts but is looking for clarification on specific calculations. Overall, the thread highlights the challenges of accurately quantifying uncertainties in acoustical measurements.
pitchtwit
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Hi - I'm new here - I'm just writing a paper based on an acoustical analysis of a rock/pop performance venue in a college I work at, and I'm up to my uncertainties section.

I've read up on uncertainties, and feel confident in working out uncertainties for simple additions, multiplications, divisions, squares and roots - but my equation is more complex than that.

Here's the main equation: -
[PLAIN]http://dl.dropbox.com/u/11341635/Room%20modes.png

nx, ny and nz are integer values from one to infinity.

lx = 13.640 m ± 0.005 m
ly = 8.109 m ± 0.005 m
lx = 6.241 m ± 0.005 m

c is the speed of sound and is calculated using the equation: -
[PLAIN]http://dl.dropbox.com/u/11341635/Speed%20of%20sound.png
(the 101.1% is due to humidity at 30 degrees C and 30 % humidity - the maximum that could have been reached during the experiment).

T was 23 degree C ± 2

I'm not sure how to deal with the integer values - I'll need to put values to each at some point - I was assuming each would be either 1, or the maximum reached during the experiment (around 15), but this would mean that the end uncertainty would be a variable number depending on what these integers were.

Assuming each integer value were 1, how do you deal with 1/x in uncertainties? I can't find any reference to this in all my guidance documents.

Then finally there's the square root to deal with. I know that to deal with a square root you usually divide the relative uncertainty by 2, but what if it's a square root of a bunch of uncertainties - like in this case.
 
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The key is to take the log of both sides and differentiate then.
 
Thanks - I'm reading that document now.

What about a simpler one - I have two sets of data for reverberation time measurements - one at 500 Hz and one at 1,000 Hz. The estimated mean average for the 500 Hz set is 0.908 s with a relative uncertainty of 0.00861 s and for the 1,000 Hz set these are 0.793 s and 0.0194 s.

I need the mid-frequency reverberation time, which is a mean average based on only the 500 Hz and 1,000 Hz measurements. So in this case it is (0.908+0.793)/2 = 0.850 s. How do I work out the uncertainty for this value?
 
I think I'm getting it. For the last example I arrived at the following equation: -

[PLAIN]http://dl.dropbox.com/u/11341635/Uncertainty%20of%20MidFrequency%20Reverberation%20Time.png

Think I've got in about as deep as I need for now.

Many thanks.
 
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I think it's easist first to watch a short vidio clip I find these videos very relaxing to watch .. I got to thinking is this being done in the most efficient way? The sand has to be suspended in the water to move it to the outlet ... The faster the water , the more turbulance and the sand stays suspended, so it seems to me the rule of thumb is the hose be aimed towards the outlet at all times .. Many times the workers hit the sand directly which will greatly reduce the water...
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