4 papers
Conditional Neural Field based Reduced Order Model for Dynamic Ditching Load Prediction
Henning Schwarz, Pyei Phyo Lin, Jens-Peter M. Zemke +1
Grid-based neural networks such as convolutional autoencoders are widely used in dimension reduction-based surrogate models for computational fluid dynamics. In recent years, the u…
Data-driven pressure field prediction for ships in regular sea states
Malte Loft, Henning Schwarz, Thomas Rung
Merchant shipping is responsible for more than 90% of the global trade and has a significant environmental impact, accounting for over 2% of global greenhouse gas emissions. Theref…
Disentangled Latent Spaces for Reduced Order Models using Deterministic Autoencoders
Henning Schwarz, Pyei Phyo Lin, Jens-Peter M. Zemke +1
Data-driven reduced-order models based on autoencoders generally lack interpretability compared to classical methods such as the proper orthogonal decomposition. More interpretabil…
Machine Learning based Prediction of Ditching Loads
Henning Schwarz, Micha Ãberrück, Jens-Peter M. Zemke +1
We present approaches to predict dynamic ditching loads on aircraft fuselages using machine learning. The employed learning procedure is structured into two parts, the reconstructi…