How to ensure the Mesh is good enough for accurate simulation? | Mesh Convergence in Abaqus

In this video, first, we introduce different meanings of convergence in Abaqus. Then we focus on Mesh Convergence.
The video tutorial you described is about achieving mesh convergence in Abaqus. Here are the key points:
✅Mesh convergence refers to refining the mesh (dividing the model into small elements) until the solution (stresses, displacements etc.) obtained from the FEA simulation stops changing significantly. A well-converged mesh ensures accurate results.
There are different methods to achieve mesh convergence:
👉h-method: Refines the mesh by increasing the number of elements while keeping the element type the same.
👉p-method: Increases the polynomial order of the element type while keeping the number of elements constant.
🚀🚀The video uses an example of a connecting lug to demonstrate mesh convergence with the h-method. Different mesh densities (coarse, normal, fine, very fine) are used to analyze the lug.
The results (displacements, stresses) at specific points of the lug are monitored. A plot is used to show how these results change with mesh density.

The video also talks about exceptions to mesh convergence rules:
🔴Singularities: Stress concentrations at sharp corners may not converge.
🔴Localization problems: For certain material behaviors, mesh refinement may not lead to a meaningful solution.
⚡⚡The video provides tips on obtaining mesh convergence for complex models:
Focus on refining mesh in areas of high stress gradients.
Use coarse mesh for areas where stress is not critical.
Abaqus offers submodeling for detailed analysis of specific regions.
Initial coarse analysis can help identify areas needing mesh refinement.

🤔🤔What is Mesh Convergence?
In Finite Element Analysis (FEA), the mesh – a network of elements – plays a vital role. A well-converged mesh ensures your Abaqus simulation delivers accurate and dependable results. Convergence simply means that further mesh refinement has minimal impact on the solution.

🤔🤔Why is Mesh Convergence Important?
Imagine building a house with poorly sized bricks. The structure might not be stable! Similarly, a coarse mesh can lead to misleading results in your FEA simulation. Mesh convergence guarantees:
Reliable Results: You can trust your simulation outcomes for confident design decisions.
Avoiding Misinterpretations: Eliminate the risk of inaccurate results caused by a poorly converged mesh.

0:00- Different meanings of convergence in Abaqus
1:10- Definition of mesh convergence
1:51- Different methods of mesh convergence
2:40- Example to understand mesh convergence
6:40- Exceptions in mesh convergence rule
9:28- Common issues and questions about mesh convergence