This section presents the estimation models that calculate the component characteristics requested for their selection without requiring a detailed design.
Section 1 : Linear regression and scaling laws
Linear regression of catalog datas and scaling laws are particularly suitable for a low complexity description of components.
Estimation models with linear regressions
Lessons:
Exercices:
More:
Estimation models with scaling laws
Videos and informations:
https://github.com/marcbudinger/R3ASC_2018
Test your knowledge here:
https://nbviewer.jupyter.org/github/marcbudinger/R3ASC_2018/blob/master/01_SizingScenarios.ipynb
Section 2 : Surrogate models of FEM simulations
Surrogate models are low cost models which represent the behavior of high fidelity numerical models.
Architectures analysis
Design drivers and sizing scenarios