PD–DEM hybrid modeling of leading edge erosion in wind turbine blades under controlled impact scenarios

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Abstract

This paper addresses the critical issue of leading edge erosion (LEE) on modern wind turbine blades (WTBs) caused by solid particle impacts. LEE can harm the structural integrity and aerodynamic performance of WTBs, leading to reduced efficiency and increased maintenance costs. This study employs a novel particle-based approach called hybrid peridynamics–discrete element method (PD–DEM) to model the impact of solid particles on WTB leading edges and target material failure accurately. It effectively captures the through-thickness force absorption and the propagation of stresses within the leading edge coating system composed of composite laminates. The amount of mass removed and the mean displacement of the target material points can be reliably calculated using the current method. Through a series of tests, the research demonstrates the method’s ability to predict impact force changes with varying particle size, velocity, impact angles and positions. Moreover, this study offers a significant improvement in erosion prediction capability and the development of design specifications. This work contributes to the advancement of WTB design and maintenance practices to mitigate LEE effectively.

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CITATION STYLE

APA

Walayat, K., Haeri, S., Iqbal, I., & Zhang, Y. (2024). PD–DEM hybrid modeling of leading edge erosion in wind turbine blades under controlled impact scenarios. Computational Particle Mechanics. https://doi.org/10.1007/s40571-024-00717-y

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