Can We Predict Damping Coefficient of a String Using Mathematical Simulation?

In summary, the conversation discussed the possibility of predicting the damping coefficient of a string using a mathematical simulation that included various parameters such as diameter, length, frequency, material density, and elastic modulus. It was also suggested to factor in modes of vibration and the string's initial displacement. However, due to the complexity and variability of these factors, it was concluded that it is not feasible to accurately predict the damping coefficient. Additionally, the conversation touched on the importance of air in damping the string and the potential use of ideal models in studying string behavior.
  • #1
Chrono G. Xay
92
3
Is it possible to predict the damping coefficient of a string using a mathematical simulation that included the string's diameter, length, frequency (and therefore tension), material density, and elastic modulus (if not also its Poisson's ratio) as opposed to simply looking at the amplitudes of each successive wave? I'm guessing that It would be even more accurate to factor in modes of vibration that are not just the fundamental, as well as how these modes are excited differently based upon where along the string's length it is initially deflected.

I would like to think that we can, but then again do I not also need the density of the atmosphere--assuming it's air, if not a vacuum--and the string's velocity (meaning I would probably need to know the distance of the string's initial transverse displacement, and therefore the restoring force of the deflected string?

I haven't been to find articles that I really understood and didn't just contain cursory knowledge:

http://hyperphysics.phy-astr.gsu.edu/hbase/oscda.html#c2

https://en.m.wikipedia.org/wiki/Damping_ratio
 
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  • #2
Short answer: no.
Pretty much for the reasons you state: too many variables.
You end up using catalogs of material properties to make guesses, then refine for the specifics.
If you need a particular damping coefficuent, you build that part to be close and tuneable.
 
  • #3
Also the damping coefficient for an isolated perfect string is not a very useful thing to know even if you could work it out . A string in an actual instrument will behave quite differently anyway since it is interacting with the complex response of the sound box and other components .
 
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Likes billy_joule
  • #6
Sometimes the best model we can do is the ideal model: An instrument with no resonating chamber whose body, neck, and headstock are immovable, in an atmosphere (i.e. air) of static temperature, pressure, humidity, and therefore density, and viscosity. I will even look at the change in the force of gravity with a change in height above sea level if I need to. At this point in time I am honestly not interested in how the string interacts with the body, but how the string interacts with the atmosphere itself. The guitar's body, neck, and headstock are a different elements that come together. Guitars vary a lot more than strings do.

I'm honestly not afraid to do a little lookup for material values if need be. I've done it before for projects very much related to this.
 
  • #7
https://courses.physics.illinois.edu/phys406/Student_Projects/Fall00/STreharne/STreharne_P398EMI_Final_Report.pdf
 
  • #8
The hope- the goal of all of this is so that as people *do* write equations for the behavior of the neck, or the headstock, or the truss rod, the body, and the resonating chamber, they can just drop this one in place and be done that much faster, kind like making a seatbelt so that when there is need of one the other person can just take it use it, instead of having to piece one together themselves.
 

Related to Can We Predict Damping Coefficient of a String Using Mathematical Simulation?

1. What is a damping coefficient?

A damping coefficient is a parameter that represents the resistance of a system to dissipate energy. It is used to describe the rate at which oscillations decrease in a system.

2. How is the damping coefficient calculated?

The damping coefficient can be calculated using the formula: c = 2*ζ*√(mk), where ζ is the damping ratio, m is the mass of the system, and k is the stiffness of the system.

3. What factors affect the damping coefficient?

The damping coefficient is affected by the material properties of the system, such as its mass and stiffness, as well as external factors such as friction and air resistance.

4. What is the significance of predicting the damping coefficient?

Predicting the damping coefficient is important in understanding the behavior of a system and its response to external forces. It can also help in designing systems that have the desired level of damping to prevent excessive oscillations or vibrations.

5. How accurate are predictions of the damping coefficient?

The accuracy of predictions of the damping coefficient depends on the complexity of the system and the accuracy of the input parameters. In simple systems, predictions can be highly accurate, but in more complex systems, there may be some degree of error.

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