基于多尺度失效分析的含孔隙风电叶片主梁力学性能影响研究

魏鑫; 陈雅文; 宁文博; 包洪兵; 李慧

doi:10.19912/j.0254-0096.tynxb.2024-1506

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (1) : 476-484. DOI: 10.19912/j.0254-0096.tynxb.2024-1506

基于多尺度失效分析的含孔隙风电叶片主梁力学性能影响研究

魏鑫, 陈雅文, 宁文博, 包洪兵, 李慧

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EFFECTS OF MAIN BEAM FOR WIND TURBINE BLADES PORE-CONTAINING MECHANICAL PROPERTIES BASED ON MULTISCALE FAILURE ANALYSIS

Wei Xin, Chen Yawen, Ning Wenbo, Bao Hongbing, Li Hui

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摘要

该文结合宏观性能实验和细观模型仿真,利用多尺度分析方法联立分析,提出一种可以预测叶片主梁基本力学性能参数的方法。首先通过实验研究与数值模拟,建立碳纤维主梁的细观模型,得到6种力学性能参数与纤维体积含量的关系,并验证了该文数值方法的有效性。进一步地,通过假设孔隙缺陷随机分布于基体中,利用蒙特卡洛方法创建含0~10%孔隙缺陷的碳纤维主梁模型,预测大丝束碳丝/环氧树脂主梁的基本材料性能。研究表明纤维方向弹性模量（E₁₁）随孔隙含量的变化不敏感,但另外5种力学性能（E₂₂、E₃₃、G₁₂、G₁₃和G₂₃）参数受孔隙含量的影响较大,下降率均接近11%。

Abstract

Pore flaws formed during the manufacturing process of wind turbine blades directly affect the basic mechanical properties of the overall structure. They decrease the load-carrying capacity and may lead to blade failure. The paper combines macro performance experiments and fine-scale model simulation and utilizes a multiscale analysis method predict the basic mechanical performance parameters of the main beam laminate for wind turbine blades. Firstly, through experimental study and numerical simulation, a fine-scale model of the carbon fiber main beam is established, the relationship between six mechanical property parameters and fiber volume content is obtained, and the validity of the numerical method used in this paper is verified. Furthermore, the fundamental material properties of a large tow carbon filament/epoxy main beam were predicted by utilizing the Monte Carlo approach to develop a model of a carbon fiber main beam with 0-10% pore flaws, assuming that the pore defects are randomly distributed in the matrix. While the other five mechanical property parameters （E₂₂, E₃₃, G₁₂, G₁₃, and G₂₃） were significantly impacted by the pore content, with reduction rates approaching 11%, the fiber directional modulus of elasticity （E₁₁） proved to be insensitive to changes with pore content.

导出引用

魏鑫, 陈雅文, 宁文博, 包洪兵, 李慧. 基于多尺度失效分析的含孔隙风电叶片主梁力学性能影响研究[J]. 太阳能学报. 2026, 47(1): 476-484 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1506

Wei Xin, Chen Yawen, Ning Wenbo, Bao Hongbing, Li Hui. EFFECTS OF MAIN BEAM FOR WIND TURBINE BLADES PORE-CONTAINING MECHANICAL PROPERTIES BASED ON MULTISCALE FAILURE ANALYSIS[J]. Acta Energiae Solaris Sinica. 2026, 47(1): 476-484 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1506

中图分类号： TB332

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