Fatigue S-N curve approach for impact loading of hyper- and visco-elastic leading edge protection systems of wind turbine blades

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Abstract

Computational evaluation of leading edge erosion remains challenging due to the high-strain rate loading conditions caused by impact of the wind turbine blade leading edge with rain droplets and other environmental particles. Here, a methodology is proposed for obtaining an S-N curve which can be used for impact fatigue evaluation of hyper- and viscoelastic leading edge protection systems for wind turbine blades, in the relevant strain rate domain. Two material systems (hard and soft polyurethane (PU)) are characterised experimentally by dynamic mechanical analysis (DMA) and static tensile tests. Time-temperature superposition is applied to the raw DMA data in order to obtain the material’s mastercurve, describing its visco-elastic behaviour in an expanded strain rate domain. The Yeoh (hyperelastic) and prony series (viscoelastic) material model parameters are calibrated and form the input for a 2D-axisymmetric finite element model, in which Single Point Impact Fatigue Test (SPIFT) testing conditions are simulated. The stress field experienced by the coating during SPIFT testing is obtained and combined with the experimental measurements, allowing the determination of the material systems S-N curve, in the relevant strain rate domain. Results for a hard and soft PU coating system are compared with rain erosion test (RET) data. The RET data shows higher lifetime for the hard PU systems, a tendency that can be predicted when comparing the S-N curve for the hard and soft PU system. This methodology can be utilised in computational lifetime evaluation of leading edge coating systems. Furthermore, the methodology has the potential to partly alleviate the need of RET in the development and comparison of next-generation leading edge protection systems.
Original languageEnglish
Title of host publication43rd Risoe International Symposium on Materials Science
Number of pages9
Volume1293
PublisherIOP Publishing
Publication date2023
Article number012021
DOIs
Publication statusPublished - 2023
Event43rd Risø International Symposium on Materials Science - Risø, Roskilde, Denmark
Duration: 4 Sept 20237 Sept 2023

Conference

Conference43rd Risø International Symposium on Materials Science
Country/TerritoryDenmark
CityRisø, Roskilde
Period04/09/202307/09/2023
SeriesIOP Conference Series: Materials Science and Engineering
ISSN1757-8981

Keywords

  • Wind turbine blades
  • Leading edge erosion
  • Impact fatigue
  • Viscoelasticity
  • High strain rate
  • S-N curve

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