Summary
In this section, we'll cover the following:
- Identifying and eliminating zero-energy (spurious) displacement modes in the model.
- Deriving the substitute transverse strain–displacement matrix.
- Modifying the element stiffness matrix within the code.
- Validating the corrected model against an OpenSeesPy benchmark.
- Extending the model to include point loads and patch loading.
In this section, we focus on resolving the issue of zero-energy displacement modes by introducing a correction to the element formulation. We begin by carefully deriving the substitute transverse strain–displacement matrix, ensuring we fully understand the theoretical basis for the modification before applying it in code. This derivation underpins the adjustments made to the element stiffness matrix, which are key to eliminating the spurious behaviour observed earlier.
We then implement these changes in the solver and validate the updated model against an OpenSeesPy benchmark, confirming that our custom finite element code produces accurate and reliable results. Finally, we round off the implementation by incorporating point loads and patch loading, completing the development of a fully functional and validated finite element analysis tool.
Next up
In the next lecture, we will begin deriving the substitute transverse shear strain matrix, starting with the assumed strain field and its polynomial representation.
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Finite Element Analysis of Plate and Shell Structures: Part 1 - Plates
An analysis pipeline for thick and thin plate structures, a roadmap from theory to toolbox
After completing this course...
- You will understand how Reissner-Mindlin theory enables us to accurately capture both thin and thick plate behaviour.
- You will understand how to turn the fundamental mechanics of plate behaviour into a custom finite element solver written in Python.
- You will have developed meshing workflows that utilise the powerful open-source meshing engine, GMSH.
- In addition to using your own custom finite element code, you will be comfortable validating your results using OpenSeesPy and Pynite.