EN基于代理模型的风电机组前机架拓扑优化方法
基于代理模型的风电机组前机架拓扑优化方法
- 太阳能学报 2025年46卷第12期 页码：584-588
- 作者机构：
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DOI：doi:10.19912/j.0254-0096.tynxb.2024-1448
中图分类号： TH12-
网络出版：2026-01-07，
纸质出版：2025
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舒娇娇, 王慧, 倪敏, 等. 基于代理模型的风电机组前机架拓扑优化方法[J]. 太阳能学报, 2025,46(12):584-588.
舒娇娇, 王慧, 倪敏, et al. 基于代理模型的风电机组前机架拓扑优化方法[J]. 2025, 46(12): 584-588.
舒娇娇, 王慧, 倪敏, 等. 基于代理模型的风电机组前机架拓扑优化方法[J]. 太阳能学报, 2025,46(12):584-588. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1448.
舒娇娇, 王慧, 倪敏, et al. 基于代理模型的风电机组前机架拓扑优化方法[J]. 2025, 46(12): 584-588. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1448.
摘要
随着风电机组单机容量不断增大以及向深远海发展的趋势
整机轻量化和高可靠性之间相互掣肘。同时
日趋激烈的市场化竞争导致整机研发周期缩短。为解决上述问题
提出基于代理模型的风电机组前机架拓扑优化方法。以柔顺度最小为目标
设置人为体积比约束
在轮毂中心施加不同方向的力矩
得到各方向拓扑优化结果并分析其特征。对前机架进行重构
基于代理模型进行有限元分析
确定结构型式和尺寸。优化后结构的极限强度和疲劳强度校核结果表明
该文提出的拓扑优化方法在风电机组前机架结构轻量化设计中具有可行性和有效性
且显著缩短了产品研发周期。
Abstract
The growing capacity of wind turbines and the tendency towards offshore wind turbines pose a challenge in balancing the need for lightweight structures and high reliability. Simultaneously
intensifying market competitiveness results in a reduction in the research and development cycle for the entire machine. To address the aforementioned issues
a structural topology optimization approach for the wind turbine front mainframe was proposed
utilizing a surrogate model. With the goal of minimizing compliance
an artificial volume ratio constraint was set
and torques in different directions were applied to the hub center. The topological optimization results in each direction were obtained and their characteristics were analyzed. The front mainframe was remodeled
and the surrogate model using the finite element method was analyzed to identify the structural construction and its dimensions. The verification results of the optimized structure for its ultimate and fatigue strength demonstrate that the suggested topology optimization methodology is both possible and effective in achieving the lightweight design for the wind turbine front mainframe. Additionally
the product development cycle is significantly reduced.
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Keywords
references
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