用疲劳损伤力学方法预测风力涡轮机叶片前缘保护涂层的孵化和突破结束时间

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue Pub Date : 2024-09-23 DOI:10.1016/j.ijfatigue.2024.108617

Antonios Tempelis, Kristine Munk Jespersen, Leon Mishnaevsky Jr.

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引用次数: 0

摘要

风力涡轮机叶片前缘表面的状态对于优化空气动力性能非常重要。雨水侵蚀会导致前缘受损和粗糙。在本研究中，我们提出了一种基于雨滴撞击造成的疲劳损伤累积来预测前缘粗糙度的方法。雨滴对保护涂层的冲击模拟与雨水侵蚀测试数据和疲劳 S-N 曲线相结合。然后将疲劳损伤值与表面粗糙度水平联系起来。介绍了一种从雨水侵蚀试验中提取 S-N 曲线参数的方法，然后仅根据冲击模拟的输出结果对其他涂层进行预测，并根据试验数据进行了测试。这种方法可以预测孵育结束时间和涂层突破时间。应力、应变和能量密度值被用作疲劳损伤指标，并将各自的预测结果进行了比较。结果发现，最大主应变的预测结果最好，与实验趋势相吻合。

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Fatigue damage mechanics approach to predict the end of incubation and breakthrough of leading edge protection coatings for wind turbine blades

The state of the surface of the leading edge of wind turbine blades is important for optimal aerodynamic performance. Rain erosion leads to damage and roughness on the leading edge. In this study, we present an approach to predict the level of roughness of the leading edge based on fatigue damage accumulation due to impacts of rain droplets. Impact simulations of droplets on the protective coating layer are coupled with rain erosion test data and fatigue S-N curves. Fatigue damage values are then related to surface roughness levels. An approach to extract S-N curve parameters from a rain erosion test and then make predictions for other coatings based only on the output of impact simulations is presented and tested against test data. Both the end of incubation and coating breakthrough times are predicted with this approach. Stress, strain and energy density values were used as fatigue damage indicators and the respective predictions were compared to each other. It was found that the maximum principal strain gave the best predictions and matched the experimental trends.

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来源期刊

International Journal of Fatigue 工程技术-材料科学：综合

CiteScore

10.70

自引率

21.70%

发文量

619

审稿时长

58 days

期刊介绍： Typical subjects discussed in International Journal of Fatigue address: Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements) Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions) Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation) Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering Smart materials and structures that can sense and mitigate fatigue degradation Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.