Training Neural Networks to Predict the Behaviour of Mechanical Joints
The following is an excerpt.
PhD candidate Victor André presented a novel approach to mechanical joint modelling at this year’s LS-DYNA conference.
machine learning
Machine Learning for more Accurate Simulations
The following is an excerpt.
SFI CASA´s new PhD candidate Håvard Næss aims to make numerical simulations more accurate concerning plasticity and fracture. Without increasing the computational and calibration costs.
