...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mechanical systems and signal processing >Optimization of linear zigzag insert metastructures for low-frequency vibration attenuation using genetic algorithms
【24h】

Optimization of linear zigzag insert metastructures for low-frequency vibration attenuation using genetic algorithms

机译：基于遗传算法的线性Z字形插入物元结构对低频振动衰减的优化

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Vibration suppression remains a crucial issue in the design of structures and machines. Recent studies have shown that with the use of metamaterial inspired structures (or metastructures), considerable vibration attenuation can be achieved. Optimization of the internal geometry of metastructures maximizes the suppression performance. Zigzag inserts have been reported to be efficient for vibration attenuation. It has also been reported that the geometric parameters of the inserts affect the vibration suppression performance in a complex manner. In an attempt to find out the most efficient parameters, an optimization study has been conducted on the linear zigzag inserts and is presented here. The research reported in this paper aims at developing an automated method for determining the geometry of zigzag inserts through optimization. This genetic algorithm based optimization process searches for optimal zigzag designs which are properly tuned to suppress vibrations when inserted in a specific host structure (cantilever beam). The inserts adopted in this study consist of a cantilever zigzag structure with a mass attached to its unsupported tip. Numerical simulations are carried out to demonstrate the efficiency of the proposed zigzag optimization approach.
机译：减振仍然是结构和机械设计中的关键问题。最近的研究表明，通过使用超材料激发的结构（或超结构），可以实现相当大的振动衰减。通过优化内部结构的内部几何结构，可以使抑制性能最大化。据报道，之字形刀片可有效降低振动。还已经报道，刀片的几何参数以复杂的方式影响减振性能。为了找出最有效的参数，对线性之字形刀片进行了优化研究，并在此处进行介绍。本文报道的研究旨在开发一种通过优化确定锯齿形刀片几何形状的自动化方法。这种基于遗传算法的优化过程可搜索最佳的锯齿形设计，将其适当调整以抑制插入特定主体结构（悬臂梁）时的振动。本研究采用的刀片由悬臂之字形结构组成，其无支撑尖端附着有重物。进行了数值模拟，以证明所提出的之字形优化方法的效率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号