Stability and Accuracy of Diffusion Equation Solution

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SUMMARY

The discussion centers on the stability and accuracy of the solution to the Diffusion equation using the explicit finite difference method. It is established that the solution remains stable when the condition D*dt/dx² is less than 0.5. However, different values of D*dt/dx², such as 0.48 and 0.3, yield distinct numerical solutions, necessitating careful selection of time (dt) and space (dx) steps to achieve results that closely align with experimental data. The recommended approach includes comparing numerical solutions against analytic solutions and progressively refining dx and dt until the results converge satisfactorily.

PREREQUISITES
  • Understanding of the Diffusion equation
  • Familiarity with explicit finite difference methods
  • Knowledge of numerical stability criteria
  • Experience with comparing numerical and analytic solutions
NEXT STEPS
  • Explore methods for analyzing numerical stability in finite difference methods
  • Learn techniques for comparing numerical solutions with analytic solutions
  • Investigate the impact of varying time and space steps on numerical accuracy
  • Study applications of finite difference methods in heat transfer simulations
USEFUL FOR

Researchers, engineers, and students involved in computational fluid dynamics, numerical analysis, and heat transfer modeling will benefit from this discussion.

baseball07
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I have a general question about the solution to the Diffusion equation using the explicit finite difference method. Now, it is known the solution is stable when D*dt/dx^2 is less than 0.5, based on the choice of time and space steps. However, how does the choice of the time and space steps affect the actual numerical solution values, say if we were to compare with some experimental data? That is, a D*dt/dx^2 of 0.48 and 0.3 are both indeed stable, but they will both have different numerical values, correct? So how does one choose the correct time and space steps to get the closest solution?
 
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baseball07 said:
I have a general question about the solution to the Diffusion equation using the explicit finite difference method. Now, it is known the solution is stable when D*dt/dx^2 is less than 0.5, based on the choice of time and space steps. However, how does the choice of the time and space steps affect the actual numerical solution values, say if we were to compare with some experimental data? That is, a D*dt/dx^2 of 0.48 and 0.3 are both indeed stable, but they will both have different numerical values, correct? So how does one choose the correct time and space steps to get the closest solution?

You can compare against analytic solutions. You can set the value of D*dt/dx^2 constant, and solve the equations using progressively smaller values of dx and dt (at fixed D*dt/dx^2 ) until you are satisfied that the solutions have stopped changing (to your satisfaction). You can also try this for several values of D*dt/dx^2 and compare results.
 
Chestermiller said:
You can compare against analytic solutions. You can set the value of D*dt/dx^2 constant, and solve the equations using progressively smaller values of dx and dt (at fixed D*dt/dx^2 ) until you are satisfied that the solutions have stopped changing (to your satisfaction). You can also try this for several values of D*dt/dx^2 and compare results.

Yes, this is probably the only thing you can do. I've used it in heat transfer
studies to verify/validate finite element simulations compared to analytic
heat diffusion solutions for regular geometric shapes. Eg, if I was
modeling the cooling of an avocado, I would test the numerical
simulation against spheres and short columns.
 
Last edited:

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