基因算法 在最大化相邻频率之间的差距方面对光束的优化
Łukasz Domagalski1, Izabela Kowalczyk1
1Department of Structural Mechanics, Lodz University of Technology, Politechniki 6, 93-590 Lodz, Poland.
Materials (Basel, Switzerland)
|July 29, 2023
概括
这项研究优化了光束厚度,以使用遗传算法和有限元素方法 (FEM) 最大化频率差距. 结果显示,优化的刚度和质量分布与自然频率模式相关.
科学领域:
- 结构动力学 结构动力学
- 机械工程 机械工程
- 计算力学 计算力学 计算力学
背景情况:
- 优化光束厚度对于增强动态性能至关重要.
- 最大化频率间隙对于避免结构系统中的共振至关重要.
研究的目的:
- 为了优化光束的厚度变化功能,用于最大的频率间隙.
- 分析优化光束的动态刚性和自然频率模式.
主要方法:
- 基因算法 (GA) 用于优化.
- 用有限元法 (FEM) 解决结构动力学的问题.
- 通过检查可变参数进行趋同分析.
主要成果:
- 成功优化了光束厚度的变化,以最大限度地提高自然频率之间的差距.
- 优化硬度/质量分布与特定的自然频率模式之间证明了相关性.
- 验证了遗传算法和FEM方法在结构动态优化方面的有效性.
结论:
- 开发的优化工具适用于增强光束动态特性.
- 优化的刚度和质量分布显著影响自然频率模式.
- 该方法为设计具有所需动态性质的梁提供了可靠的方法.
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