Physics-Based Simulation Methods for Hybrid Digital Twins
PhySimTwin
Credit:
Shutterstock / Ilya Lukichev
Duration 2023–2026
In the PhySimTwin project (physics-based simulation methods for hybrid Digital Twins), we are working on integrating physics-based simulation methods and methods of physics-informed machine learning into our existing research topic of Digital Twins.
We develop reduced models for complex technical infrastructures. These can be evaluated in near real time, but still retain the essential system characteristics. In order to make optimum use of sensor data from infrastructures, we develop concepts to determine the best placement of sensors and test virtual sensing techniques.
We use an important transportation infrastructure project (bridge construction) to demonstrate the added value of our research approach. We are further developing our processes and methods so that they can be used in various areas of critical infrastructure, such as in the simulation of crowd movements during evacuations or for assessing the condition of infrastructure networks.
Project
PhySimTwin
Duration
2023–2026
Objective
Development of physics-based simulation methods for hybrid Digital Twins
Contact
Prof. Dr.-Ing. Alexander Popp
Deputy Head of Institute
German Aerospace Center (DLR)
Institute for the Protection of Terrestrial Infrastructures
