Classification Of Mesh Grids

Classification Of Mesh Grids

Structured Grids

A Structured grid having regular connectivity with the surrounding elements. we can achieve structured grid by using 2D quadrilateral and 3D Tetrahedra this model requires less space due to its proper storage arrangements due to it shape.

Eg:-

Advantages

1. Better Convergence 
2. Higher Resolution
3. Results Accurac
4. Data Locality
5. Available solution Algorothims
6. High degree of control

Challenges

1. More time to create

Unstructured Grids

An unstructured grids can be identified by its irregular conectivity to its surrounding elements. It is bit difficult to represent in 2 dimensional or 3 dimentsional in computer memory. When compared to structured grids it consumes more space because of its explicit storage of neighborhood relationship. we can achieve this grids by using Traingles in 2D, tetrahedra in 3D.

Eg :-

Advantages

1. Less Time to create
2. Complex Shapes can be meshed

Challenges

1.  less Accuracy in results if we choose improper element size

Hybrid Grids

It is a combination of structured and unstructured grids it can integrate structured mesh and unstructured mesh in an efficient manner. we can choose which type of grids can be used based on the model shape if it s simple we can opt for structured grids if model is complex shape we can opt for n structured grids. these grids are non con formal means this grid lines no need to match with block boundaries.

Eg :-

Advantages

1. Accuracy and Time can be managed as per the Time Availablity