| 基于重要抽样法的热防护系统热可靠性评估方法 |
| |
| 引用本文： | 邓诗圆,辛健强,张琨,王林林,姚建尧,洪文虎.基于重要抽样法的热防护系统热可靠性评估方法[J].重庆大学学报(自然科学版),2019,42(2):62-70. |
| |
| 作者姓名： | 邓诗圆 辛健强 张琨 王林林 姚建尧 洪文虎 |
| |
| 作者单位： | 重庆大学 航空航天学院,重庆,400044;中国运载火箭技术研究院研发中心,北京,100076 |
| |
| 基金项目： | 国家自然科学基金（11502036）。 |
| |
| 摘 要： | 热防护系统的可靠性直接影响到高超飞行器的安全性和结构完整性。为提高热防护系统可靠性分析的效率,在之前研究的基础上提出了基于重要抽样(Importance Sampling,IS)的热可靠性评估方法,给出了该方法的具体实施流程和评价方法,有效解决蒙特卡洛法(Monte Carlo method,MC)对于低失效概率问题分析效率过低的问题。以典型的非烧蚀热防护系统为例,在考虑材料、几何尺寸不确定性的情况下进行了热可靠性分析,验证文中方法的有效性。计算结果表明,要得到同等置信度的失效概率结果,重要抽样法所需的抽样次数仅为传统蒙特卡洛法10%,大大提高了可靠性分析的效率。
|
| 关 键 词： | 热防护系统 热可靠性 重要抽样法 蒙特卡洛法 置信度 |
| 收稿时间： | 2018/7/3 0:00:00 |
Assessment of thermal reliability of thermal protection systems by importance sampling method |
| |
| DENG Shiyuan,XIN Jianqiang,ZHANG Kun,WANG Linlin,YAO Jianyao and HONG Wenhu.Assessment of thermal reliability of thermal protection systems by importance sampling method[J].Journal of Chongqing University(Natural Science Edition),2019,42(2):62-70. |
| |
| Authors: | DENG Shiyuan XIN Jianqiang ZHANG Kun WANG Linlin YAO Jianyao and HONG Wenhu |
| |
| Institution: | College of Aerospace Engineering, Chongqing University, Chongqing 400044, P. R. China,Research and Development Center, China Academy of Launch Vehicle Technology, Beijing 100076, P. R. China,College of Aerospace Engineering, Chongqing University, Chongqing 400044, P. R. China,College of Aerospace Engineering, Chongqing University, Chongqing 400044, P. R. China,College of Aerospace Engineering, Chongqing University, Chongqing 400044, P. R. China and Research and Development Center, China Academy of Launch Vehicle Technology, Beijing 100076, P. R. China |
| |
| Abstract: | Safety and structural integrity of hypersonic vehicles are directly influenced by the reliability of their thermal protection system (TPS). To improve the efficiency of reliability analysis of TPS, a new method based on importance sampling was proposed in this paper. The detailed calculation procedure and thermal reliability assessment methods were also introduced. The thermal reliability analysis of a typical non-ablative TPS with uncertainties about material properties and geometries was used as numerical example to verify the effectiveness of the proposed method. The results indicate that to achieve reliability result with the same confidence level, importance sampling method needs only 10% simulation iterations of the conventional Monte Carlo method, which dramatically improves the efficiency of reliability analysis. |
| |
| Keywords: | thermal protection system thermal reliability importance sampling Monte Carlo simulation confidence level |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《重庆大学学报(自然科学版)》浏览原始摘要信息 |
| 点击此处可从《重庆大学学报(自然科学版)》下载免费的PDF全文 |
|
