Sørensen, John Dalsgaard5; Toft, Henrik Stensgaard1
George Deodatis, Bruce R. Ellingwood, Dan M. Frangopol
1 Department of Civil Engineering, The Faculty of Engineering and Science, Aalborg University, VBN2 Division of Water and Soil, The Faculty of Engineering and Science, Aalborg University, VBN3 Reliability and Risk Analysis Research Group, The Faculty of Engineering and Science, Aalborg University, VBN4 Structural Dynamics, Reliability and Risk Analysis, The Faculty of Engineering and Science, Aalborg University, VBN5 The Faculty of Engineering and Science, Aalborg University, VBN
Wind turbine blades are designed by a combination of tests and numerical calculations using finite element models of the blade. The blades are typically composite structures with laminates of glass-fiber and/or carbon-fibers glued together by a matrix material. This paper presents a framework for stochastic modelling of the load bearing capacity of wind turbine blades incorporating physical, model, measurement and statistical uncertainties at the different scales and also discusses the possibility to define numerical tests that can be included in the statistical basis. The stochastic modelling takes basis in the JCSS framework for modelling material properties, Bayesian statistical methods allowing prior / expert knowledge to be accounted for and the Maximum Likelihood Method. The stochastic framework is illustrated using simulated tests which represent examples relevant for wind turbine blades.
Safety, Reliability, Risk and Life-cycle Performance of Structures and Infrastructures: Proceedings of the 11th International Conference on Structural Safety and Reliability, 2014, p. 5635-5641
Modeling; Wind Turbine; Blade Design
Main Research Area:
Safety, Reliability, Risk and Life-Cycle Performance of Structures and InfrastructuresInternational Conference on Structural Safety and Reliability, 2014