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ESR 4:
to be recruited


Host Institution
Norwegian University of Science and Technology (Norway)
Supervisor

Description

Incorporate available data information in models for slender structures (e.g. oil reisers). Usage: 1) validation of existing physical models; 2) new, fully data driven models; 3) models being partly data driven, partly obtained by Cosserat theory; 4) studies of structural fatigue, validation by measurements, analysis of material properties and physical characteristics.

Expected Results

Improved models for cable simulation (discretised and implemented in a code). The designed models will be analysed using techniques based on shape analysis on Lie groups where the motion of the cables is considered as a space-time dependent curve on the Lie group SE(3) (in collaboration with ESR5). The deformation and motion of the cable can be seen as the geodesic curve in an infinite dimensional manifold. The features of this deformation can be determined by optimal control problems or alternatively, using machine learning and deep neural networks. ESR4 benefits from data generated in virtual experiments (ESR3, ESR6) and real experiments (ESR11).

Secondments

planned at TechnipFMC (industrial partner), Friedrich Alexander University Erlangen-Nuremberg, Fraunhofer ITWM and University of Liège

associated with the Industrial Challenges

IC 1 Textile engineering
IC 7 Offshore engineering
IC 9 Software development