风电机组主轴承座抗疲劳拓扑优化设计方法

陆飞宇; 张承婉; 龙凯; 陈卓; 陶涛; 刘杰

doi:10.19912/j.0254-0096.tynxb.2022-0853

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (8) : 518-523. DOI: 10.19912/j.0254-0096.tynxb.2022-0853

风电机组主轴承座抗疲劳拓扑优化设计方法

陆飞宇¹, 张承婉¹, 龙凯¹, 陈卓², 陶涛³, 刘杰⁴

作者信息 +

FATIGUE-RESISTANCE TOPOLOGY OPTIMIZATION METHOD FOR MAIN BEARING SEAT OF WIND TURBINES

Lu Feiyu¹, Zhang Chengwan¹, Long Kai¹, Chen Zhuo², Tao Tao³, Liu Jie⁴

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文章历史 +

摘要

为实现风电机组主轴承座抗疲劳轻量化设计,提出基于增广拉格朗日函数的抗疲劳拓扑优化方法。采用准静态法快速获取时序应力值,经过雨流计数得到累积疲劳损伤值。基于变密度法建立抗疲劳拓扑优化列式,为解决单元损伤约束方程数庞大的困难,借助增广拉格朗日函数将原拓扑优化问题转换为一系列无约束优化问题实现优化求解。基于商品化有限元软件二次开发实现抗疲劳拓扑优化功能,并在风电机组主轴承座轻量化设计中得到工程应用,证明了提出方法的可行性和适用性。

Abstract

A fatigue-resistance topology optimization （TO） method based on augmented Lagrange function was proposed, in order to achieve a lightweight design for wind turbine main bearing seats. The quasi-static method was employed to efficiently obtain the time-varying stress. Consequently, the cumulative fatigue damage was determined by rain-flow counting. Using variable density method, the fatigue-resistance topology optimization formula was established. To address the difficulty of a large number of constraint equations imposed on unit fatigue damage, the original topology optimization problem was converted into a sequence of unconstrained optimization problems by means of augmented Lagrange function. The fatigue-resistance topology optimization function was realized by implementing the secondary development of commercial finite element software. The software has been successfully applied in the lightweight design of the main bearing seats of wind turbines, demonstrating the practicability and applicability of the proposed method.

导出引用

陆飞宇, 张承婉, 龙凯, 陈卓, 陶涛, 刘杰. 风电机组主轴承座抗疲劳拓扑优化设计方法[J]. 太阳能学报. 2023, 44(8): 518-523 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0853

Lu Feiyu, Zhang Chengwan, Long Kai, Chen Zhuo, Tao Tao, Liu Jie. FATIGUE-RESISTANCE TOPOLOGY OPTIMIZATION METHOD FOR MAIN BEARING SEAT OF WIND TURBINES[J]. Acta Energiae Solaris Sinica. 2023, 44(8): 518-523 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0853

中图分类号： TH12

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