Numerical study of steady-state dynamic characteristic of non-pneumatic tire with local structural damage

被引:0
|
作者
Deng, Yaoji [1 ]
Liu, Tao [1 ]
Wang, Zhiyue [1 ]
Zhou, Qiangqiang [1 ]
Shen, Hui [1 ]
Li, Mingyue [1 ,2 ]
机构
[1] Yangzhou Univ, Coll Mech Engn, Yangzhou 225127, Peoples R China
[2] CITIC Dicastal Co Ltd, Qinhuangdao 066004, Peoples R China
关键词
Airless tire; Local damage; Intelligent tire; Dynamic response; Acceleration signal;
D O I
10.1016/j.euromechsol.2024.105428
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Non-pneumatic tires (NPTs) fundamentally avoid the risk of tire blowout of traditional pneumatic tires, but the overall and key component performance inevitably degrades due to factors such as high temperature, variable load, variable working conditions and impact in its service process. Once this leads to failure, it will significantly impact on vehicle safety. To this end, this paper studied the influence of local structural damage on the dynamic response of NPTs, which lays the foundation for realizing health monitoring of intelligent non-pneumatic tires (INPTs). Firstly, a three-dimensional nonlinear finite element model of NPTs was established, and the failure locations of NPTs were determined by fracture mechanics and maximum strain energy density; Secondly, the influence of structural damage on the static and dynamic performance of NPTs was analyzed; Finally, the sensitivity of the acceleration signal and sensor position of the tire inner liner to the local structural damage was studied. The research results show that structural damage will cause the stress of the spokes and shear layer to increase, and as the number of broken spokes increases, the shear layer will bear a larger load. Compared with the circumferential and lateral acceleration, the radial acceleration has the highest sensitivity to the damage of NPTs. The sensor closest to the damage location is the most sensitive to the damage. The research results provide a reference for the structural optimization design and health monitoring of INPTs.
引用
收藏
页数:13
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