Why do we need integration points in FEA?

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SUMMARY

Integration points in Finite Element Analysis (FEA) are essential for accurately calculating displacements and forming the element stiffness matrix. While nodes represent discrete points in a structure, integration points allow for numerical integration of functions related to internal strain energy, particularly in complex geometries. Techniques such as Gauss-Legendre integration enhance accuracy for polynomial functions, making them preferable over simpler methods like the trapezium rule. For layered composite materials, integration through thickness is necessary, while isotropic materials can often be integrated analytically.

PREREQUISITES
  • Finite Element Analysis (FEA) fundamentals
  • Numerical integration techniques, specifically Gaussian quadrature
  • Understanding of element stiffness matrix formulation
  • Material properties and their impact on integration in FEA
NEXT STEPS
  • Study Gauss-Legendre integration methods in detail
  • Explore the formulation of the element stiffness matrix in FEA
  • Learn about integration techniques for layered composite materials
  • Investigate the effects of varying material properties in FEA simulations
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Engineers, researchers, and students involved in structural analysis, particularly those working with Finite Element Analysis and numerical methods for solving complex engineering problems.

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Hi

Why are displacements calculated on integration points but not directly over the nodes. The whole purpose of discretizing a structure in FEA is to have fewer degrees of freedom, then why add integration points when there are well defined nodes.

Also, can somebody please explain having integration points over thickness and how it is taken care while solving a problem in FEA.
 
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To form the element stiffness matrix, you need to integrate some function (related to the internal strain energy of the element) over the element volume. Except for simple elements with simple geometry, this is done numerically. In principle you could do this using something like the trapezium rule or Simpson's rule to do the integral using only nodal values, but other integration rules like http://en.wikipedia.org/wiki/Gaussian_quadrature are more efficient and/or more accurate.

For example, Gauss-Legendre integration with n points give the correct results for polynomials up to order (2n-1), and good approximate results (which can be interpreted in terms of least-squares fitting a lower order function and integrating it) for higher order polynomials.

The integration is always over the volume of the element. For shell or beam elements, if the material properties vary through the thickness of the element (e.g. layered composite materials) you may need to integrate for each layer separately. For isotropic materials and linear problems, you can usually do the integration through the thickness of a shell or over the area of the beam analytically, and then integrate over the area of the shell or the length of the beam numerically.
 

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