New paper published in Structural Safety
S. Schär and S. Marelli published a new paper with their collaborators from the HIPERWIND project H. Wang, O. Gramstad and E. Vanem.
The paper, Comparison of Probabilistic Structural Reliability Methods for Ultimate Limit State Assessment of Wind Turbines, examines various probabilistic approaches for assessing the structural reliability of wind turbines. The authors evaluate the effectiveness of traditional environmental contour methods alongside a more recent sequential sampling technique utilizing Gaussian process regression.
An interesting aspect of the study is the use of an external page mNARX surrogate model in the case study, in place of a computationally expensive aero-servo-elastic simulator typically employed. Similar to the simulator, the surrogate generates time series of the turbine responses based on wind field inputs. By employing the computationally inexpensive surrogate model, a thorough comparison and validation of the investigated methods was possible, which would have been unfeasible with a traditional simulator.
For more information, please visit external page this link for the publication and this link for the associated internal report.