项目名称: 高超声速飞行器热防护系统蜂窝结构的等效热/力学参数反演新方法研究
项目编号: No.51206014
项目类型: 青年科学基金项目
立项/批准年度: 2013
项目学科: 工程热物理与能源利用学科
项目作者: 崔苗
作者单位: 大连理工大学
项目金额: 25万元
中文摘要: 随着高超声速飞行器速度的不断提高,服役环境越来越恶劣,热防护问题成为制约其发展的瓶颈。蜂窝夹层板是大面积热防护系统外层面板结构的首选,而蜂窝结构是其核心部分,如何获得蜂窝结构的等效热/力学参数是热防护系统优化设计的关键问题之一。本项目研究蜂窝结构等效热/力学参数反演新方法,内容包括正问题、反问题及模型实验与应用分析:①在正问题中,研发辐射-导热耦合换热边界单元法,对蜂窝结构进行精细热/力学分析和边界物理量等效,为反问题提供温度/位移实验值;②在反问题中,将等效热/力学参数作为优化变量,将温度/位移计算值与实验值之间的残差作为优化目标函数,通过极小化目标函数进行求解;③以典型热防护系统蜂窝结构为例验证所述方法,研究测点位置及数量对反演结果的影响规律。旨在为准确计算蜂窝结构等效热/力学参数提供一种新方法,为高超声速飞行器热防护系统优化设计提供关键初始数据,促进蜂窝结构等效热/力学参数研究进展。
中文关键词: 辐射-导热耦合换热;反问题;等效热/力学参数;蜂窝结构;复变量求导法
英文摘要: With the continuous increase of the velocity of hypersonic vehicles, the service environment is becoming worse, and the thermal protection problem is a bottleneck. Honeycomb sandwich plates are the prior choice of the outer panel structure of the large-area thermal protection system(TPS), and honeycomb cores are the key parts of honeycomb sandwich plates. How to obtain equivalent thermal/mechanical parameters of honeycomb cores is a key issue in the optimization design of the TPS of hypersonic vehicles. A new inverse approach is proposed in the project to recover equivalent thermal/mechanical parameters of honeycomb cores. Three parts,i.e.,the direct problem, the inverse problem as well as the model experiment and the application analysis are included in the research.In the direct problem,the boundary element method for the coupled conductive and radiative heat transfer problem will be developed, and the subtle thermal/mechanical analysis for honeycomb cores as well as the equivalence on boundary physical quantities will be carried out, which will provide experimental data of temperatures and displacements. In the inverse problem, equivalent thermal/mechanical parameters are treated as the optimization variables and will be obtained by minimizing the objective function which are the differences between the calcu
英文关键词: coupled conductive and radiative heat transfer;inverse problem;equivalent thermal/mechanical parameters;honeycomb core;complex-variable-differentiation method