雷达俯仰支撑体的振动分析与结构优化
 高云凯1,2,胡晓兵*,1,2
(1.四川大学 机械工程学院,四川 成都 610065;2.宜宾四川大学产业技术研究院,四川 宜宾 644000)
摘要:雷达在特殊运输过程中会承受较大的振动,持续的振动会使雷达结构产生一定的疲劳损伤。针对雷达俯仰支撑体进行模态叠加的随机振动分析,获取雷达俯仰支撑体的固有特性以及振动下的受力和变形,并进一步基于Miner疲劳累积损伤理论对结构进行疲劳计算。同时为提升雷达的可运输性,基于Workbench响应面优化模块,以结构重量和振动变形值为目标函数对雷达俯仰支撑体进行结构优化。结果表明,雷达俯仰支撑体在随机振动激励下其强度、刚度和疲劳寿命均满足设计要求,最终在保证雷达俯仰支撑体强度和动刚度的前提下,使结构减重达45.65 kg,实现了雷达设备的轻量化。
关键词:雷达俯仰支撑;固有频率;随机振动;疲劳损伤;轻量化
中图分类号:TN956            文献标志码:A            doi:10.3969/j.issn.1006-0316.2023.12.008
文章编号:1006-0316 (2023) 12-0048-06
Vibration Analysis and Structural Optimization of the Radar's Pitch Support Structure
GAO Yunkai1,2,HU Xiaobing1,2
( 1.School of Mechanical Engineering, Sichuan University, Chengdu 610065, China; 2.Yibin Institute of Industrial Technology of Sichuan University, Yibin 644000, China )
Abstract:During the special transportation process, radar systems are subjected to significant vibrations, and continuous vibration can cause fatigue damage to the radar structure. In order to analyze the random vibration of the radar pitch support structure, modal superposition is performed to obtain the natural characteristics, forces, and deformations under vibration. Furthermore, fatigue calculations are conducted on the structure based on the Miner fatigue accumulation damage theory. Simultaneously, in order to enhance the transportability of the radar system, structural optimization is carried out using the Workbench response surface optimization module, with structural weight and vibration deformation as the objective functions. The results indicate that the strength, stiffness, and fatigue life of the radar pitch support structure meet the design requirements under random vibration excitation. On the premise of ensuring the strength and dynamic stiffness of the radar pitch support structure, the weight is reduced by 45.65 kg, achieving lightweight design of the radar equipment.
Key words:radar pitch support;natural frequency;random vibration;fatigue damage;lightweight design
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收稿日期:2023-05-29
基金项目:四川大学宜宾战略合作项目(2020CDYB-3)
作者简介:高云凯(2000-),男,河南驻马店人,硕士研究生,主要研究方向为智能制造,E-mail:1941044367@qq.com。*通讯作者:胡晓兵(1970-),男,四川成都人,博士研究生,教授、博士生导师,主要研究方向为智能制造、企业信息化、工业机器人、机器视觉,E-mail:gykzzw@163.com。


 

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