A DoE approach that balances design space coverage and experiment quantity. It is a compromise between highly dense design spaces and sparse methods.
The Central Composite method contains centre points along with a group of ‘star’ points to enhance coverage. It provides a sufficient design space while limiting the number of solutions required to be run. Consequently, it is commonly used in CFD analysis, for example, for the design improvement of the bow of a ship (35).
Advantages
- Well structured
- Previous factorial experiments can be built upon easily by adding centre and star points
Disadvantages
- More resource intensive than sparser methods, such as D-optimal