PROBABILISTIC RELIABILITY ANALYSIS METHOD BASED ON SURROGATE MODEL FOR WIND TURBINE DRIVETRAIN STRUCTURE SUBJECTED TO RANDOM DYNAMIC LOAD

被引：0

作者：

Jimbo, Tomohiko ^{[1
]}

Kano, Akira ^{[1
]}

Hisakuni, Yousuke ^{[1
]}

Ito, Yasutaka ^{[1
]}

Hirohata, Kenji ^{[1
]}

Ichimura, Tsuyoshi ^{[2
]}

机构：

[1] Toshiba, Corp Res & Dev Ctr, Kawasaki, Kanagawa, Japan

[2] Univ Tokyo, Earthquake Res Inst, Tokyo, Japan

来源：

PROCEEDINGS OF ASME 2022 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, IMECE2022, VOL 9 | 2022年

关键词：

Random dynamic load; Wind load; Seismic load; Surrogate modeling; Reliability analysis; Wind turbine;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页数：10

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