MegaStructures
Structural
- Sep 26, 2019
- 366
Does anyone have a resource, or a short description that they can share, that explains what is happening in the math behind the finite element method that causes mesh convergence? I'm not looking for rigorous solutions to partial differential equations, or anything like that, but just a conceptual understanding of why the solution is becoming more accurate as element size gets smaller, or element order increases.
I work a lot with matrix structural analysis and understand the stiffness method quite well and have become comfortable solving stiffness matrices and understanding that the solutions I get are exact; however, I can't seem to understand what is happening behind the scenes with the finite element method that is causing them to be inexact approximations. I have seen a lot of nice explanations that relate the finite element method to the method of finding the area under the curve by a sum of rectangles/trapezoids and as you increase the number of rectangles the approximation becomes more accurate, which is a nice comparison, but tells me nothing about the actual approximation of the finite element method.
I am trying to relate the finite element method to the stiffness method employed in matrix structural analysis, which I understand is a discrete method, and finite element method is a continuous method. Each finite element should have a stiffness matrix associated with it and it should be possible to find the force in the element by observing the differences in nodal deflections. This calculation must be exact for one element, so error must be created from joining other elements to the nodes of this first element. Why can the elements not "agree" on nodal deflections at larger element sizes / low element orders?
I realize this may be an extremely difficult question to explain conceptually without hardcore PDE's, but hopefully someone can!
I work a lot with matrix structural analysis and understand the stiffness method quite well and have become comfortable solving stiffness matrices and understanding that the solutions I get are exact; however, I can't seem to understand what is happening behind the scenes with the finite element method that is causing them to be inexact approximations. I have seen a lot of nice explanations that relate the finite element method to the method of finding the area under the curve by a sum of rectangles/trapezoids and as you increase the number of rectangles the approximation becomes more accurate, which is a nice comparison, but tells me nothing about the actual approximation of the finite element method.
I am trying to relate the finite element method to the stiffness method employed in matrix structural analysis, which I understand is a discrete method, and finite element method is a continuous method. Each finite element should have a stiffness matrix associated with it and it should be possible to find the force in the element by observing the differences in nodal deflections. This calculation must be exact for one element, so error must be created from joining other elements to the nodes of this first element. Why can the elements not "agree" on nodal deflections at larger element sizes / low element orders?
I realize this may be an extremely difficult question to explain conceptually without hardcore PDE's, but hopefully someone can!