| 引用本文: | 冯韶伟,王月,陈晓飞,等.基于双线性连接模型的超静定捆绑火箭助推器动力学响应分析.[J].国防科技大学学报,2018,40(2):55-59.[点击复制] |
| FENG Shaowei,WANG Yue,CHEN Xiaofei,et al.Dynamic response analysis of the hyper-static strap-on boosters based on the bi-linear connection model[J].Journal of National University of Defense Technology,2018,40(2):55-59[点击复制] |
|
| |
|
|
| 本文已被：浏览 7312次 下载 6065次 |
| 基于双线性连接模型的超静定捆绑火箭助推器动力学响应分析 |
| 冯韶伟1, 王月2, 陈晓飞1, 郭凤明1, 冷月1 |
|
(1. 北京宇航系统工程研究所， 北京 100076;2. 中国运载火箭技术研究院研究发展中心， 北京 100076)
|
| 摘要: |
| 对于长径比较高的助推器来说，为了提高与芯级的连接可靠性，可采用超静定捆绑连接方式。这种捆绑连接方式增加了助推器动力学响应分析的难度。以超静定捆绑火箭助推器为研究对象，通过引入拉压双线性弹簧模拟捆绑连接装置，建立合理的动力学分析模型，对系统进行数值求解，获得径向冲击作用下助推器的动力学响应特性。通过与静定捆绑模型的对比，获得超静定捆绑助推器的广义位移、频谱和内力的响应，从而为工程应用提供一定的参考和理论支撑。 |
| 关键词: 超静定捆绑 动力学响应 拉压不同刚度 机理模型 |
| DOI：10.11887/j.cn.201802009 |
| 投稿日期：2017-03-19 |
| 基金项目:中国科协青年人才托举工程资助项目（YESS20170051） |
|
| Dynamic response analysis of the hyper-static strap-on boosters based on the bi-linear connection model |
| FENG Shaowei1, WANG Yue2, CHEN Xiaofei1, GUO Fengming1, LENG Yue1 |
|
(1. Beijing Institute of Aerospace Systems Engineering, Beijing 100076， China;2. Research and Development Center of China Academy of Launch Vehicle Technology, Beijing 100076, China)
|
| Abstract: |
| In order to increase the connect reliability between the core stage and the boosters of the launch vehicle, the boosters with large fineness ratio can use hyper-static strap-on style. However, it may increase the analysis difficulty of the dynamic characters. Therefore, the dynamic model of booster with hyper-static strap-on style was established, and the bi-linear stiffness spring was employed to simulate the strap-on equipment. The dynamic response of the booster by the radial impulsion will be researched. The responses, including generalized displacements, frequency and the internal force will be compared with the static strap on style. Research results can provide reference and theoretical support for the engineering application. |
| Keywords: hyper-static strap-on style dynamic response different tensile and compressive stiffness mechanism model |
|
|
