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A computational framework for the analysis of rain-induced erosion in wind turbine blades, part II: Drop impact-induced stresses and blade coating fatigue life
AbstractWith the current trend in wind energy production, the need to manufacture larger wind turbine blades is on the rise. The high blade tip velocities associated with large blades subject them to various damages due to high speed impact with foreign objects such as raindrops. This paper is the second part in a two-part paper that presents a framework for rain erosion prediction in wind turbine blades. In part I, a stochastic rain texture model and multi-resolution simulation of raindrop impact on solid object were discussed. In part II, the predicted impact pressure profiles are imported into a finite element model of the wind turbine blade shell to analyze the raindrop impact-induced transient stresses within the blade coating and the ensuing fatigue damage pattern. The analysis is complemented with a fatigue stress-life estimation process that integrates elements of fatigue life calculation with 3D fields of raindrops generated from the stochastic rain texture model to relate damage accumulation rates to rain intensities. These accumulation rates, together with the statistics of rainfall history, provide a means for estimating the expected fatigue life of the blade coating as an indication of the onset of surface roughening or the end of the incubation period.
HighlightsIngredients of a framework for the analysis of rain erosion in wind turbine blades are discussed.Raindrop impact-induced stresses are calculated via high-fidelity FE analysis.Drop impact induced fatigue damage calculations are performed.Fatigue damage accumulation rate-rain intensity relationships are established.Expected fatigue life is estimated as an indicator for the end of incubation period.
A computational framework for the analysis of rain-induced erosion in wind turbine blades, part II: Drop impact-induced stresses and blade coating fatigue life
AbstractWith the current trend in wind energy production, the need to manufacture larger wind turbine blades is on the rise. The high blade tip velocities associated with large blades subject them to various damages due to high speed impact with foreign objects such as raindrops. This paper is the second part in a two-part paper that presents a framework for rain erosion prediction in wind turbine blades. In part I, a stochastic rain texture model and multi-resolution simulation of raindrop impact on solid object were discussed. In part II, the predicted impact pressure profiles are imported into a finite element model of the wind turbine blade shell to analyze the raindrop impact-induced transient stresses within the blade coating and the ensuing fatigue damage pattern. The analysis is complemented with a fatigue stress-life estimation process that integrates elements of fatigue life calculation with 3D fields of raindrops generated from the stochastic rain texture model to relate damage accumulation rates to rain intensities. These accumulation rates, together with the statistics of rainfall history, provide a means for estimating the expected fatigue life of the blade coating as an indication of the onset of surface roughening or the end of the incubation period.
HighlightsIngredients of a framework for the analysis of rain erosion in wind turbine blades are discussed.Raindrop impact-induced stresses are calculated via high-fidelity FE analysis.Drop impact induced fatigue damage calculations are performed.Fatigue damage accumulation rate-rain intensity relationships are established.Expected fatigue life is estimated as an indicator for the end of incubation period.
A computational framework for the analysis of rain-induced erosion in wind turbine blades, part II: Drop impact-induced stresses and blade coating fatigue life
Amirzadeh, B. (Autor:in) / Louhghalam, A. (Autor:in) / Raessi, M. (Autor:in) / Tootkaboni, M. (Autor:in)
Journal of Wind Engineering and Industrial Aerodynamics ; 163 ; 44-54
01.01.2017
11 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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