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Trouble deciding how to integrate a PDE

Schrödinger's hat

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Couldn't quite figure out whether to put this in Physics, Calculus, Applied Mathematics, Computer Science, or Engineering :/


I'm trying to come up with a good scheme for integrating something similar to a thin beam equation:

Something along the lines of:

[math] A\frac{d^4y}{dx^4}+\text{Possibly other x derivatives}=q(x) + B\frac{d^2y}{dt^2}[/math]


But unfortunately comp-phys is but a hazy memory.


I can remember/find notes on enough to do similar things which are first order in time with finite difference methods.

Would the obvious thing of adding degrees of freedom to make:

[math]v = \frac{dy}{dt}[/math]

[math]\frac{d}{dt} \left[\begin{array}{c} v\\y \end{array}\right] = \left[\begin{array}{c}\frac{1}{B}(A\frac{d^4y}{dx^4} - q(x))\\v\end{array}\right][/math]


Then applying the same methods be an effective approach? Or would it be horribly unstable?

Is there an out-of-the-box method somewhere that I'm completely missing?

Edited by Schrödinger's hat
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Then applying the same methods be an effective approach? Or would it be horribly unstable?


In case anyone else cares/comes here looking for an answer to the same question, this seems to work quite well.

The resulting system was horribly unstable with Euler method, but anything backwards-time or mixed seemed to work remarkably well.


I suppose I won't know for sure until it's compared to some data.


If anyone is watching/curious I can elaborate upon request, as there seems to be a bit of a jump in the learning curve (for what I can find online at least).

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