Signal Processing and Speech Communication Laboratory
homeresearch projects › DNN4Rail - Physics-informed Neural Networks for Multibody Dynamics Simulation and its Application to Railway Vehicles

DNN4Rail - Physics-informed Neural Networks for Multibody Dynamics Simulation and its Application to Railway Vehicles

Period
2023 — 2023
Funding
Siemens Mobility Austria GmbH (Österreich)
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    Multibody dynamics simulations are commonly used to analyze the dynamic behavior of complex mechanical systems such as bodies or rail vehicles. In particular, the complex mechanical system is modeled as a composition of mass-spring sub-systems. This results in a system of differential equations which has to be solved.