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physics.flu-dyn2024
Monolithic 3D numerical modeling of granular cargo movement on bulk carriers in waves
Wibke Düsterhöft-Wriggers, Thomas Rung
A novel monolithic approach for simulating vessels in waves with granular cargo is presented using a Finite Volume framework. This model integrates a three-phase Volume of Fluid me…
cs.LG2024
Machine Learning based Prediction of Ditching Loads
Henning Schwarz, Micha Überrück, 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…
physics.flu-dyn2024
A two-phase Volume of Fluid approach to model rigid-perfectly plastic granular materials
Wibke Düsterhöft-Wriggers, Svenja Schubert, Thomas Rung
Granular flow problems characterized by large deformations are widespread in various applications, including coastal and geotechnical engineering. The paper deals with the applicat…