ECCOMAS 2022

9/6/22    16:30 - 18:30
Physics- and Data-Driven Modelling Techniques for Digital Twins II  
Minisymposium organized by Oliver Barrowclough, Jeroen Broekhuijsen, Kjetil Johannessen and Andre Stork
Room: Hordaland 1 (1F)
MS73B
Chair: Stephanie Ferreira
Wind Turbine Control using Machine Learning techniques
Lorenzo Schena

Digital twins of electric machines
Karim Cherifi, Philipp Schulze and Volker Mehrmann

Using data assimilation to address complex parameter modeling of physics-based digital twins
Katleya Medrano and Tatsurou Yashiki

Isogeometric representations for digital twins subjected to dynamic excitations with GEOMISO DNL software
Panagiotis Karakitsios, Ioannis Prentzas and Athanasios Leontaris

An efficient mCRE-DDM based approach for model updating in structural dynamics with industrial applications
Zouhair Samir, Ludovic Chamoin and Mickael Abbas

Adjoint framework and digital twin for smart placement of depolluting panels in urban areas
Julien Waeytens, Fatiha Chabi, Tsubasa Hamada, Rachida Chakir and Delphine Lejri

Predicting the behaviour of woody biomass particles using deep hidden physics based models.
Fateme Darlik and Bernhard Peters