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What is discretization error in the context of approximating a circle with finite elements?

Discretization error, also called numerical error, is the difference between the circumference of the polygonal approximation (the sum of element lengths) and the true circumference of the original continuous circle. It represents the unavoidable gap introduced when a smooth object is replaced by finite elements.

Conditions

  • Occurs when a continuous geometry or field is replaced by a finite collection of elements.
  • In the example, the comparison is between the approximated circle and the original circle.

Reasoning, step by step

  1. Calculate the total length of the approximated circle by summing the element lengths.
  2. Determine the true circumference of the original continuous circle.
  3. Subtract the approximated circumference from the original circumference.
  4. The resulting difference is the discretization error.

Example

The speaker defines the difference between the approximated-circle circumference and the original-circle circumference as “discretization error,” also called “numerical error.”

Common misconceptions

  • Believing the approximated circle has the exact same circumference as the original circle.
  • Thinking discretization error only occurs in 1D problems and not in solid mechanics.

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