Designing Complex Behaviour: Novel Pathways for Assisting Design Based on Dynamics-Informed Machine Learning in Structural Mechanics

Novel machine learning approaches as design assistants for the nonlinear dynamic behavior of structures under complex transient loads

Mapping and prediction of nonlinear structural dynamics using deep learning

• Huge static black box models
• Data hunger
• Training duration, resource consumption

Reservoir computer = nonlinear dynamic (computing) systems

• Inherent dynamics
• Small amount of data
• Elimination of the training process
• Speed, efficiency

• Prediction modules / architectures
• Computing Power (GPU Server)

• Exchange on benchmark cases and challenges
• Measurement/Data for complex dynamic systems