Engineering Asked on August 17, 2020
I have been working on some acoustic synthesis software for modelling several acoustic instruments. I am using the principle of modal synthesis, where every mode of vibration is individually synthesized, generally using a resonant bandpass filter (or sine wave). I have used this approach to get great results on stringed instruments like guitar/cello where the relationship between modes is simple and reasonably predictable. However, I am struggling with drums.
As a 2D circular membrane, the vibrational properties of a drumhead (and even more so, a two headed drum with a drum shell between) are much more complicated than a simple string. However, I still believe this should be possible to synthesize well given modern computing power. With the correct data, I can easily synthesize 500+ modes simultaneously to give a likely good sound.
Imagine a simple 2D circular membrane excited by a strike of energy at its dead center. The information I ideally need for each mode is:
Frequency ratio relative to the fundamental (0,1) – this is easily given in an ideal circular membrane by the Bessel zeros. Things would be different in a "nonideal" membrane, but this is easy to get from any program like ANSYS either way, and I would prefer an "ideal" simulation first.
Maximum amplitude of sound of each mode relative to the fundamental (0,1). If a point of reference is needed, let’s say we are measuring sound at 2-3" from the center of the excited membrane.
Decay rate of each mode, where decay rate is given by time to reach 1/e amplitude relative to that mode’s highest initial amplitude, or alternatively in dB/s.
Time delay from excitation to beginning of a mode’s oscillation in milliseconds or in radians/degrees for that mode’s frequency.
If I have a table of that data for the first 500 significant resonances of a circular membrane (or full drum model), I can easily put that into synthesis to see what I get.
ANSYS is okay even in simple usage for providing basic modal frequencies (#1). But I am uncertain if/how it or another program can possibly provide #2-4 on that list.
Is this a very simple or challenging set of data to try to get? How would you approach it, ie. with what program or modelling technique?
Alternatively, the biggest component of the "sound" besides the frequency ratios is the decay rates. If you are aware of any equation that can, using an arbitrary damping coefficient $c$, express the theoretical decay rate of any (m,n) mode from a given decay rate of (0,1), that would likely work well enough too. It was easy enough in strings to work in this way, but I don’t think it will be so easy in 2D. I’m sure such an equation can be derived, but I don’t know it, and I’m not sure anyone else does either. I am hoping to be able to work that relationship out from modeled data if I can get modeling working.
Thanks.
I got a reply from someone on another site suggesting the following:
If the air damps it linearly enough, you can probably solve it analytically. Use plate theory to generate a PDE, then work out all the eigenmodes. The decay rate will be determined by the real components of the eigenvalues, and can be converted into dBs-1 using a few logs. https://en.wikipedia.org/wiki/Vibration_of_plates#Isotropic_Kirchhoff%E2%80%93Love_plates
Does this sound like a reasonable approach, and if so, any further tips on how to go about this? Should the air "damp it linearly enough"?
An analytical solution would be more ideal than a modelling solution.
I see partial differential equations for a circular membrane explained here: http://ramanujan.math.trinity.edu/rdaileda/teach/s12/m3357/lectures/lecture_3_29.pdf
But I have no formal physics/math past the 100 level courses I took in undergrad so this is going to take some learning curve for me to sort out. Any help if this makes sense?
Thanks
Answered by mike on August 17, 2020
Get help from others!
Recent Answers
Recent Questions
© 2024 TransWikia.com. All rights reserved. Sites we Love: PCI Database, UKBizDB, Menu Kuliner, Sharing RPP