Benefit of using Nodal method instead of finite difference method?

In summary, nodal method was developed in the 1970s as a more efficient way to solve diffusion problems compared to finite element and finite difference methods. It reduces the amount of storage and computational work needed and can provide equivalent accuracy with coarser mesh spacing. With the advancements in supercomputers, nodal method is still recommended for its advantages. A good reference for this method is Kord Smith's Engineer's Thesis on the 3-D implementation in the code QUANDRY.
  • #1
libertad
43
1
Nodal Method??

What's the benefit of using Nodal method instead of finite difference method in solving a diffusion problem?
 
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  • #2


libertad said:
What's the benefit of using Nodal method instead of finite difference method in solving a diffusion problem?
Do you mean finite element method?

IIRC, it has to do with the representation of the boundary conditions.

I believe FEM can uses larger cells (elements), and therefore would be more computationally efficient.

I learned the difference 25 years ago when part of the course work was develop FD / FE methods for diffusion, fluid flow and heat transfer. Back then, available computers were severely memory limited, and the emphasis was on computational efficiency (both in terms of memory and time) and accuracy.
 
  • #3


FEM is mostly used for solving transport equation whereas barely used for diffusion equation.
Nodal method was developed in 70s decade in order to evade the lack of memory of those time computers.

I want to know that in this era in which the super computers are solving the complicated mathematical problems in a few seconds, the use of nodal method is recommended or not.
 
  • #4


libertad said:
FEM is mostly used for solving transport equation whereas barely used for diffusion equation.
Nodal method was developed in 70s decade in order to evade the lack of memory of those time computers.

I want to know that in this era in which the super computers are solving the complicated mathematical problems in a few seconds, the use of nodal method is recommended or not.
libertad,

As one of the co-developers [ along with Kord Smith ] of the "Analytic Nodal Method" at MIT; I can
speak to your question.

A nodal method reduces both the amount of storage and the computational work. There's no
supercomputer today that is solving time-dependent transport or time-dependent diffusion in just
a few seconds.

In essence; both the finite difference method and the finite element method make very simple
approximations to either the transport and / or diffusion equations. Because of that, one may be
forced to use relatively fine mesh-spacing in order to capture the relavant physics.

A nodal method makes use of a higher order approximation or a higher order discretization of the
transport or diffusion equation. Because of that, one doesn't need as fine a resolution in order to
get equivalent accuracy as the low order finite difference and finite element methods.

Nobody has so much computer power that the difference isn't advantageous in favor of the nodal
method. As long as one "homogenizes" fuel assemblies; which is almost universally done; there
really isn't a reason NOT to use a nodal method. If one desires to find the peak "pin power" and
consequent heat fluxes; a whole core calculation is done with homogenized assemblies in order
to find the high power assemblies. One can then do a calculation on the high power assemblies
with the geometry represented explicitly and surface currents from the nodal calculation used as
boundary conditions.

A good reference to the "Analytic Nodal Method" is Kord's Engineer's Thesis which describes the
3-D implementation in the computer code, QUANDRY. It is available at:

http://dspace.mit.edu/handle/1721.1/15979

Dr. Gregory Greenman
Physicist
 
  • #5


Dr. Gregory Greenman

Thanks a lot for your information.
I will study the Engineer's Thesis you mentioned.

Regards,
Libertad
 

1. What is the main advantage of using the nodal method over the finite difference method?

The main advantage of using the nodal method is that it allows for more accurate and precise calculations. This is because the nodal method takes into account the exact location of each node, whereas the finite difference method makes approximations based on the surrounding nodes.

2. How does the nodal method handle complex geometries?

The nodal method is able to handle complex geometries more effectively than the finite difference method. This is because the nodal method uses a network of interconnected nodes to represent the geometry, allowing for a more accurate representation of the system.

3. Can the nodal method be applied to any type of problem?

Yes, the nodal method can be applied to a wide range of problems, including both linear and non-linear equations. This makes it a versatile and useful tool for scientists and engineers in various fields.

4. Is the nodal method computationally intensive?

The nodal method can be more computationally intensive than the finite difference method, as it requires solving a larger system of equations. However, with advancements in computing technology, this has become less of a limitation.

5. Are there any limitations to using the nodal method?

One limitation of the nodal method is that it can be more challenging to implement than the finite difference method, as it requires a thorough understanding of the underlying mathematical concepts. Additionally, the nodal method may not be the most efficient approach for problems with a very large number of nodes.

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