2 projects
wall-ml-prediction
This library presents available functions to use Artificial Neural Netwroks (ANN) and Random Forest (RF) trained models to make predictions of the maximum roof acceleration (PFA_max) and the maximum roof drift ratio (rDR_max) in reinforced concrete wall buildings.
pushover-ml
User-friendly Graphical User Interface (GUI) to efficiently predict a trilinear approximation of pushover curves for low-rise reinforced concrete (RC) frame buildings, using a Machine Learning (ML) based approach.
