1 year inside his PhD project, Sebastian Tølbøll Glavind has already got deep into the analysis of the industry data, which he uses to develop joint probabilistic models of the rough offshore load environment that the platforms are situated in. A close collaboration with colleagues and potential end-users is key to a good result.
Data is alpha and omega when the research target is to formulate and develop joint probabilistic models of the offshore load environment - e.g. wind, waves and current, which constantly affects the materials the platforms are made of. In his PhD, Sebastian Tølbøll Glavind works to construct models, which facilitates a consistent utilization of available experimental results, on-site measurements, as well as hindcast and forecast data; and a consistent representation of aleatory and epidemic uncertainty.
The road towards the goal is paved with good collaboration with the industry in relation to data as well as professional back-and- forth with colleagues from different research areas to benefit from their knowledge.
“I expect my work will contribute to a better understanding of the connection between the variables forming the load environment of the offshore constructions. I hope that the work can give a more precise estimation of the safety level of the existing and future offshore constructions,” says Sebastian.
Sebastian’s research is part of a bigger project working to demonstrate structural integrity of potential hub platforms to survive extreme wave loading allowing continued safe operation of the facilities.
Sebastian Tølbøll Glavind is a PhD student at the Danish Hydrocarbon Research and Technology Centre with affiliation to Aalborg University and DTU. He has an engineerical background from Aarhus University, Per Aarsleff, COWI and NIRAS.
Read more about Sebastian’s research.