在分析用于风力轮机的功能和结构聚合物复合材料的最新进展
Francisco Lagos1,2, Brahim Menacer3, Alexis Salas4
1Department of Mechanical Engineering, Universidad de La Frontera, Temuco 4811230, Chile.
Polymers
|September 13, 2025
概括
聚合物复合材料,计算建模和人工智能的进步对于提高风力轮机叶片性能和可靠性至关重要. 这些创新是可持续风能和管理退役复合材料的关键.
科学领域:
- 材料科学与工程 材料科学与工程
- 可再生能源技术可再生能源技术
- 计算力学 计算力学 计算力学
背景情况:
- 全球向可再生能源的转型在很大程度上依赖于聚合物复合材料风力轮机叶片的性能和耐用性.
- 恶劣的环境条件,特别是离岸环境,对这些组件的寿命构成重大挑战.
- 在循环经济框架内,管理退役复合材料是一个日益关注的问题.
研究的目的:
- 审查最近 (2022-2025) 风力轮机叶片聚合物复合材料的进展.
- 探索计算方法和人工智能的集成,以优化性能和结构健康监测.
- 突出提高可靠性的策略,特别是在离岸环境中,并解决生命周期末期管理问题.
主要方法:
- 对用于风能的聚合物复合材料的最新研究 (2022-2025) 的综合.
- 高保真计算方法的审查:有限元分析 (FEA),计算流体动力学 (CFD) 和流体结构相互作用 (FSI).
- 分析人工智能 (AI) 用于结构健康监测 (SHM) 和物联网 (IoT) 用于预测性维护.
- 对1000多篇出版物的图书统计分析.
主要成果:
- 下一代混合复合材料和先进的计算方法正在优化结构完整性和空气动力学.
- 人工智能和物联网系统正在实现预测性维护和生命周期管理,特别是在离岸应用中.
- 几何重新设计在PLA原型中实现了高达30%的质量减少,而GFRP优化则产生了~7%的质量减少.
- 在相互连接的领域观察到超过25%的年度研究增长.
结论:
- 确定了三个战略前沿:先进的复合材料,集成的计算建模和可扩展的回收解决方案.
- 实时混合预测模型越来越多地被采用来对抗聚合物复合材料的降解和疲劳.
- 持续创新对于最大限度地发挥风能潜力和确保轮机叶片可持续生命周期管理至关重要.
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