“Within the CRC 1463 I have the exciting opportunity to work on the subproject B07. My research will focus on optimising and hybrid manufacturing of modular nodes for jacket support structures using large-scale WAAM technologies. The goal is to enhance the fatigue life of these structures in offshore wind farms by developing an algorithm that accounts for fatigue and residual stresses in different node systems to determine the optimal geometry while remaining cost-effective.
For this intriguing task, I will build on the experiences from my master's thesis, which I successfully completed at the Institute for Steel Construction in cooperation with the institute of Materials Science. In my master's thesis, I focused on WAAM-printed iron-based shape memory alloys (Fe-SMA) and their characterisation. This involved deep engagement with wire drawing, process parameter optimisation for welding, as well as the fabrication and characterisation of an Fe-SMA wall and couplers.
I am looking forward to this project as it provides a unique opportunity to work in an interdisciplinary team with fellow researchers, while contributing to the overall research goal of linking construction related processes of mega offshore wind turbines.” (Maximilian Loewe)
Further information: Institute of Steel Construction
„During my master’s studies at the Ludwig-Franzius-Institut, I had the opportunity to get to know the CRC during its first funding period. As part of my student work, I could support various sub-projects and acquire experience in the physical and numerical modelling of fluid-structure interaction. As the new PhD candidate of subproject A03, I will now build upon the findings of the first funding period.
The primary objective of the subproject is to enhance understanding of wave-current-structure interaction with regard to offshore megastructures. During the second funding period, special emphasis will be placed on the structural impacts originating from breaking waves in combination with realistic current profiles, which will be investigated by large-scale physical modelling. The knowledge created will be used to develop efficient parameter models for estimating complex hydrodynamic loads, which can then be incorporated by the digital twin. “ (Justus Bock)
Further information: Ludwig-Franzius-Institute