传动系
涡轮机
风力发电
可靠性(半导体)
随机振动
有限元法
随机变量
振动疲劳
概率逻辑
计算机科学
动载试验
地震荷载
随机过程
风速
结构工程
工程类
振动
功率(物理)
扭矩
数学
机械工程
人工智能
量子力学
气象学
物理
电气工程
统计
热力学
作者
Takashi Jimbo,Akira Kano,Yousuke Hisakuni,Yasutaka Ito,Kenji Hirohata,Tsuyoshi Ichimura
标识
DOI:10.1115/imece2022-94043
摘要
Abstract In order to improve the mechanical reliability for wind turbine drivetrain structure subjected to random dynamic load, commercial load and fatigue calculation method is developed based on stochastic and stochastic methods (extreme statistics) of the mechanical composition part to the random dynamic load due to the effects such as wind and the earthquake. Evolutionary spectrum is introduced from the analogy with a concept of a dynamic design wave. An attempt is made for random dynamic load calculation and fatigue prediction of 2MW wind power generation plant by the strong wind and earthquake using large-scale structural analysis based on Finite Element Method and Surrogate Modeling Method based on machine learning with physical model.
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