从自由振动模态签名中识别几何和边界条件
Ali Karimi-Asrami1, Ramazan-Ali Jafari-Talookolaei2, Arman Mardani1
1School of Mechanical Engineering, Babol Noshirvani University of Technology, Babol, Iran.
Scientific reports
|January 23, 2026
概括
这项研究揭示了网格式框架中的自然频率模式与结构参数的相关性. 先进的模型准确地预测这些参数,即使有损坏,增强结构分析.
科学领域:
- 结构工程 结构工程
- 振动分析 振动分析
- 计算力学 计算力学 计算力学
背景情况:
- 了解自然频率与结构参数之间的关系对于评估结构完整性至关重要.
- 网格式框架表现出复杂的振动行为,这些行为尚未完全被理解.
- 目前用于从振动数据中预测结构参数的方法可能是有限的,特别是在不同的条件下.
研究的目的:
- 在网格式框架中,建立自然频率模式和关键结构参数之间的清晰联系.
- 开发一种能够使用振动特征准确预测结构参数的先进模型.
- 在存在结构损坏或材料变异的情况下调查模型的性能.
主要方法:
- 利用有限元素分析 (FEA) 来生成自然频率和相应结构参数的全面数据集.
- 分析振动特征以确定关键特征,如垂直梁数量,边界条件和面积比等.
- 开发并应用了分类和插值模型来导航用于参数预测的光谱轨迹.
主要成果:
- 在特征超空间中识别出不同的,精简的集群,证明了系统动态的底层秩序.
- 开发的模型准确地从自然频率模式预测结构参数.
- 该模型在预测参数方面显示出强度,即使存在结构损坏或不同的材料.
结论:
- 自然频率模式包含丰富的信息,关于格子形式的框架的结构特征.
- 拟议的方法为结构参数识别提供了一种新且准确的方法.
- 这项研究为工程应用中的实时结构健康监测和性能预测开辟了新的可能性.
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