TY - GEN

T1 - Reconsidering fatigue limit state load sets for jacket substructures utilizing probability distributions of environmental states

AU - Häfele, Jan

AU - Hübler, Clemens

AU - Gebhardt, Cristian Guillermo

AU - Rolfes, Raimund

N1 - Funding Information: This work was supported by the compute cluster which is funded by Leibniz Universität Hannover, the Lower Saxony Ministry of Science and Culture (MWK), and the German Research Foundation (DFG). Funding Information: We gratefully acknowledge the financial support of the German Federal Ministry for Economic Affairs and Energy (research project Gigawind life, FKZ 0325575A), the Lower Saxony Ministry of Science and Culture (research project ventus efficiens, FKZ ZN3024) and the European Commission (research project IRP-Wind, funded from the European Union’s Seventh Framework Programme for research, technological development, and demonstration under grant agreement number 609795) that enabled this work.

PY - 2017

Y1 - 2017

N2 - Combinations of environmental conditions like wind, wave, and current states are often simplified or related to high demands on numerical capacity in fatigue design of offshore wind turbines. To address this recent topic, a fatigue study is performed where a basis of 2048 design load cases is incrementally reduced to smaller subsets. The full load set contains information on real measurement data in terms of probability distributions that were derived from the research platform FINO3, located in the German North Sea. With the aim of obtaining knowledge about the required design load set size, a reduction study is performed. Joint damages of two representative jacket substructures (one three-legged and one four-legged jacket) are calculated with the aero-servo-hydro-elastic simulation framework FAST. The present study shows that the degree of uncertainty in fatigue damage evaluation is high when considering realistic environmental conditions.

AB - Combinations of environmental conditions like wind, wave, and current states are often simplified or related to high demands on numerical capacity in fatigue design of offshore wind turbines. To address this recent topic, a fatigue study is performed where a basis of 2048 design load cases is incrementally reduced to smaller subsets. The full load set contains information on real measurement data in terms of probability distributions that were derived from the research platform FINO3, located in the German North Sea. With the aim of obtaining knowledge about the required design load set size, a reduction study is performed. Joint damages of two representative jacket substructures (one three-legged and one four-legged jacket) are calculated with the aero-servo-hydro-elastic simulation framework FAST. The present study shows that the degree of uncertainty in fatigue damage evaluation is high when considering realistic environmental conditions.

KW - Fatigue limit state

KW - FINO3

KW - Jacket substructures

KW - Load set reduction

KW - Offshore wind energy

UR - http://www.scopus.com/inward/record.url?scp=85029901134&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85029901134

T3 - Proceedings of the International Offshore and Polar Engineering Conference

SP - 266

EP - 273

BT - Proceedings of the 27th International Ocean and Polar Engineering Conference, ISOPE 2017

PB - Society of Petroleum Engineers (SPE)

T2 - 27th International Ocean and Polar Engineering Conference, ISOPE 2017

Y2 - 25 June 2017 through 30 June 2017

ER -