改进条形和链模型的质量凝聚和刚度参数,以获得准确的原木结构模态动力学
Anandaroop Lahiri1, Phanisri Pradeep Pratapa1
1Department of Civil Engineering, Indian Institute of Technology Madras , Chennai 600036, India.
概括
这项研究增强了原始元材料的条形和链模型,提高了模态分析的准确性. 新的参数预测自然频率的误差小于5%,明显优于现有方法.
科学领域:
- 材料机械学 材料机械学
- 计算力学 计算力学 计算力学
- 超材料科学科学 超材料科学
背景情况:
- 条和链框架为原木结构建模提供了一种有效的方法,特别适用于复杂的原木元材料.
- 传统的有限元素方法 (FEM) 由于其重复的几何形状和高自由度,对原始元材料来说在计算上昂贵.
- 之前的研究还没有广泛探索结构动态的条形和链模型,特别是小变形下的模态分析.
研究的目的:
- 在结构动态和原木结构的模态分析的背景下,提出和验证条和链模型的改进参数.
- 为了识别准确地捕获了条和链框架的低频变形模式 (折叠和面板曲).
- 通过使用精致的条形和链模型,提高对原木结构自然频率的预测准确度.
主要方法:
- 使用保存定律,推导条和链参数,包括一次性质量和旋转弹刚度.
- 通过对原木结构的有限元素 (FE) 测试进行验证.
- 识别适用于棒和链框架分析的低频模式.
主要成果:
- 改进的杆子和链模型准确地捕捉了低频原木折叠和面板曲模式.
- 精细的模型预测自然频率的最大误差为10%,通常小于5%.
- 与现有的条条和链方案相比,准确度的提高是三倍以上.
结论:
- 增强的条形和链模型提供了一个非常准确和高效的工具,用于对原木结构和元材料的模态分析.
- 拟议的参数改进大大促进了该框架在结构动态中的应用.
- 这项工作奠定了进一步调查原创灵感结构及其动态行为的基础.
相关概念视频
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