What are shape functions and how are they used in FEA?

  • Context: Graduate 
  • Thread starter Thread starter chandran
  • Start date Start date
  • Tags Tags
    Fea Functions Shape
Click For Summary
SUMMARY

Shape functions are essential in Finite Element Analysis (FEA) as they provide the displacement values within an element based on known displacements at the nodes. The discussion highlights the use of polynomial shape functions, particularly linear and quadratic elements, for constructing approximate solutions. It emphasizes that the mathematical formulation of FEA problems often utilizes these polynomial bases due to their straightforward numerical integration. Additionally, the p-FEM method is mentioned as a beneficial approach for adaptively determining interpolation orders based on solution requirements.

PREREQUISITES
  • Understanding of Finite Element Analysis (FEA)
  • Familiarity with polynomial functions and their properties
  • Knowledge of boundary conditions in FEA
  • Basic concepts of numerical integration techniques
NEXT STEPS
  • Research the implementation of linear and quadratic shape functions in FEA
  • Explore the p-FEM method for adaptive interpolation in finite element problems
  • Study numerical integration techniques used in FEA
  • Learn about boundary condition applications in finite element modeling
USEFUL FOR

Engineers, researchers, and students involved in structural mechanics, computational mechanics, or anyone looking to deepen their understanding of shape functions in Finite Element Analysis.

chandran
Messages
137
Reaction score
1
I know that shape function is a function that will give the displacements inside an element if its displacement at all the node locations of the element are known.

What is linear ,polynomial in shape functions. If i say as linear somebody else may say polynomial etc.

I am not able to visualize this shape functions at all and i am stuck with this in fea. Can anybody throw some light.
 
Mathematics news on Phys.org
In FEM the approximate solution is typically constructed using polynominals of various degrees (and hence we've different order elements), since the mathematical construction and evaluation of integrals numerically are pretty straightforward when using them. Other bases such as harmonic ones are used seldom, but in principle the method can be constructed with pretty much whatever functions.

We can present the shape / basis functions [itex]\phi_{i}[/itex] for the solution [itex]v(x)[/itex] (of the FEA problem in question that is), say for a 1D problem, as

[tex] v(x)=\sum_{i=1}^n \eta_{i}\phi_{i}(x)[/tex]

where [itex]\eta_{i}=v(x_{i})[/itex] (the nodal values), [itex]x[/itex] belongs to the solution domain, the summation is carried over the elements in the discretization (and the shape functions work element by element, satisfying the necessary conditions such as boundary conditions at element nodes), and the FEA minimization problem can be then formulated as finding [itex]u \in V[/itex] for

[tex] F(u) \leq F(v), \forall v \in V[/tex]

where [itex]V[/itex] is the space for [itex]v[/itex].

Typically nowadays most problems are solved either using linear or quadratic elements (polynomial sense)(quads preferred often if we're considering e.g. typical structural mechanics elliptic problems, if the computational cost is not an issue), although in many applications use of for example the p - FEM is beneficial (where you adaptively decide the interpolation order depending on your solution in either a priori / a posteriori sense).
 

Similar threads

  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 9 ·
Replies
9
Views
4K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 5 ·
Replies
5
Views
2K
Replies
17
Views
6K