Enabling technologies for predictive digital twins
tir. 24. juni
|Webinar
Trond Kvamsdal will present different ROM and HAM techniques applicable for structural and fluid mechanics.
Time & Location
24. juni 2025, 08:00 – 08:45 CEST
Webinar
About the Event
We adopt the following definition of a Digital Twin [1]: A digital twin is defined as a virtual representation of a physical asset, or a process enabled through data and simulators for real-time prediction, optimization, monitoring, control, and decision-making.
To enable predictive twins, we utilize Hybrid Analysis and Modelling (HAM) that combines classical Physic-Based Methods (PBM) accelerated by means of Reduced Order Modelling (ROM) together with Data-Driven Methods (DDM) based on sensor measurement analysed by use of Machine Learning (ML). Furthermore, we do Optimal Sensor Placement (OSP) based on ROM and Sparse Sensing.
Presented by Trond Kvamsdal, Senior Research Scientist, Mathematics and Cybernetics, SINTEF Digital