机器学习驱动的设计优化诱导曲的近零刚度元结构用于低频振动隔离
Hyunsoo Hong1, Wonki Kim1, Wonvin Kim1
1Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea.
ACS applied materials & interfaces
|March 27, 2024
概括
这项研究引入了具有近零刚性的新型元结构,用于在高预负载下优越的振动隔离. 这些结构表现出优异的减振,即使在低频率下,克服了以前设计的局限性.
科学领域:
- 机械工程 机械工程
- 材料科学 材料科学 材料科学
- 应用物理 应用物理
背景情况:
- 超结构为航空航天和隐形技术中的应用提供了独特的特性.
- 几乎零刚度 (QZS) 的元结构提供了优异的振动隔离,但仅限于低预负载.
- 现有的QZS元结构在实际应用中没有考虑结构分析.
研究的目的:
- 通过诱导局部曲,在高预负载下开发具有近零刚性特性的元结构.
- 创建一个优化框架,确保结构安全和QZS属性.
- 通过实验制造和测试来验证优化的设计.
主要方法:
- 使用一个优化框架,集成深度强化学习和有限元素分析.
- 诱导局部曲以在高预负载下实现QZS特性.
- 使用3D打印技术制造优化的元结构.
主要成果:
- 开发的元结构在高目标预负载下表现出几乎零的刚性特征.
- 实验验证证证实了优异的减振性能,包括在低频范围内.
- 综合优化方法成功地平衡了结构安全和QZS性能.
结论:
- 新型元结构在高预负载下实现有效的振动隔离,解决了当前QZS设计的关键局限性.
- 深度强化学习和有限元分析的结合为优化元结构性能提供了有效的方法.
- 这些发现为在苛刻的环境中先进的振动隔离的实际应用铺平了道路.
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