基于拓扑优化的叶片结构呼吸振动抑制研究
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国家自然科学基金资助项目(12372042, 12232011, 12172181),中央高校基本科研业务费专项资金资助(NS2023002)


Breathing Vibration Suppression of a Blade Structure Based on Topology Optimization
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    摘要:

    叶片结构在航空航天领域中应用广泛,例如飞机机翼、风力机叶片等.叶片结构通常为薄壳结构,在工作过程中极易发生低频呼吸振动,从而导致结构破坏.本文以叶片结构为研究对象,以第一阶模态频率(即呼吸振动频率)最大化为优化目标,建立叶片结构自由振动下的频率拓扑优化模型.在保持优化前后叶片结构质量不变的条件下,设计了叶片结构空腔内腹板的最优分布.采用商业软件ANSYS对优化前后的叶片结构进行模态分析,并且基于3D打印技术,对优化前后的试验件开展振动测量实验,结果表明:优化后的叶片结构前四阶模态频率均得到了显著提升,实现了对叶片结构频率调控的目的.通过提升一阶模态频率的方式解决叶片结构在工作环境中易因低频共振发生呼吸振动从而导致结构破坏的问题,为相关结构频率优化设计提供参考.

    Abstract:

    Blade structures are widely employed in aerospace engineering, such as wings and rotor blades. Blade structures are usually thin-shell structures, which are very easy to excite low-frequency breathing vibration and result in structural damage. This paper takes a blade structure as the research object and considers the optimization design for maximizing its first eigenfrequency (i.e. the breathing vibration frequency). The topology optimization formulation for eigenfrequency of the blade structure is therefore established. Under the volume constraint, the distribution of the webs in the cavity of the blade structure is designed. By employing ANSYS software for modal analysis and experiments for vibration tests of the blade structures before and after optimization, the results show that the first four eigenfrequencies of the blade structure are all improved dramatically, which achieves the purpose for manipulating the eigenfrequency of the blade structure. The structural safety issue caused by the low-frequency breathing vibration of the blade structure is alleviated by improving its first-order eigenfrequency, which provides a reference for relevant structural optimization design of eigenfrequencies.

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张锦涛,孙加亮,金栋平.基于拓扑优化的叶片结构呼吸振动抑制研究[J].动力学与控制学报,2024,22(8):50~57; Zhang Jintao, Sun Jialiang, Jin Dongping. Breathing Vibration Suppression of a Blade Structure Based on Topology Optimization[J]. Journal of Dynamics and Control,2024,22(8):50-57.

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  • 收稿日期:2024-01-30
  • 最后修改日期:2024-04-12
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  • 在线发布日期: 2024-09-04
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