振动
接头(建筑物)
有限元法
对接接头
焊接
固有频率
搅拌摩擦焊
结构工程
材料科学
刚度
搭接接头
工作(物理)
正常模式
胶粘剂
机械接头
流离失所(心理学)
关节刚度
机械工程
复合材料
工程类
声学
物理
心理治疗师
图层(电子)
心理学
作者
Pedro Millan,A. Francisco G. Tenreiro,João Diogo Pereira Amorim,Mohammad Mehdi Kasaei,Reza Beygi,Jorge Ambrósio,Lucas F. M. da Silva
标识
DOI:10.1016/j.jajp.2023.100170
摘要
The joining of new and dissimilar materials in the transportation sector, to meet the demands for lighter structures, requires the use of alternative joining processes. However, it is not clear how different types of structural joints compare in terms of their contribution to the vibration and damping of structures. The present work aims to provide a comprehensive experimental and numerical analysis on the contribution of three structural joints – butt friction stir welding, single lap adhesive joint and hole hemmed joint – to the vibration and damping of two joined aluminium sheets. For this purpose, experimental analysis is performed to study the free-free vibration of the three structural joints. In addition, finite element models are developed to better understand the behaviour of these joints and discuss the challenges of the numerical modelling procedure. The first four natural frequencies, experimentally obtained for each structure, suggest that the adhesive joint has significantly higher natural frequencies, due to the thickness increase at overlap, while the hole hemmed joint presents the most significant contribution to damping, owing to sliding at the overlap region. The numerical models show a very good agreement with the experimental results in terms of the natural frequencies and mode shapes, with simple modelling providing accurate results. In conclusion, the main findings are that the adhesive joints allow for a stiffer structure, with the natural frequencies increasing with the overlap dimension, while hole hemming enhances damping. The butt-butt friction stir welding has a small effect on the structural behaviour, showing a similar dynamic stiffness and damping when compared to a solid sheet of the same dimension.
科研通智能强力驱动
Strongly Powered by AbleSci AI