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航空宇航工程

基于热力等效模型的波纹夹芯板热颤振计算

  • 祁武超 ,
  • 翟梦琦
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  • 沈阳航空航天大学 辽宁省飞行器复合材料结构分析与仿真重点实验室,沈阳 110136

祁武超(1982—),男,河南漯河人,教授,博士,主要研究方向为飞行器气动弹性设计、可靠性设计、轻量化设计,E-mail:

收稿日期: 2025-01-21

  修回日期: 2025-04-11

  录用日期: 2025-04-15

  网络出版日期: 2026-03-12

基金资助

辽宁省教育厅面上项目(JYTMS20230253)

辽宁省教育厅面上项目(JYTMS20230224)

Thermal flutter calculation of corrugated sandwich panels based on the thermo-mechanical equivalent model

  • Wuchao QI ,
  • Mengqi ZHAI
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  • Key Laboratory of Liaoning Province for Aircraft Composite Structural Analysis and Simulation,Shenyang Aerospace University,Shenyang 110136,China

Received date: 2025-01-21

  Revised date: 2025-04-11

  Accepted date: 2025-04-15

  Online published: 2026-03-12

摘要

为高效预测防隔热一体化热防护系统在气动热环境下的动态稳定性,提出一种基于热力等效模型的波纹夹芯板热颤振计算方法,以降低有限元计算量。首先,基于均质化理论将夹芯层等效为单层正交各向异性材料,实现模型简化。其次,重新划分腹板与隔热材料所占区域比例,提高等效区域特征尺寸,在保证温度梯度准确性的同时减少有限元模型的网格数量。最后,基于所构建的热力等效模型提取波纹夹芯板的模态特征,并采用p-k法进行热颤振分析,计算气动力响应。计算结果表明,该方法计算效率提升80%,误差控制在3%以内。

本文引用格式

祁武超 , 翟梦琦 . 基于热力等效模型的波纹夹芯板热颤振计算[J]. 沈阳航空航天大学学报, 2026 , 43(1) : 1 -8 . DOI: 10.3969/j.issn.2095-1248.2026.01.001

Abstract

To efficiently predict the dynamic stability of integrated thermal protection systems under aerodynamic heating environment, a thermal flutter calculation method for corrugated sandwich panels based on a thermo-mechanical equivalent model was proposed, aiming to enhance the computational efficiency of finite element analysis. First, the homogenization theory was applied to approximate the core layer as a single layer of orthotropic material, thereby simplifying the model. Second, the proportion of the areas occupied by the web and the insulating material was redefined to increase the characteristic size of the equivalent area, thereby reducing the number of finite element grids while ensuring the accuracy of the temperature gradient. Finally, based on the developed thermo-mechanical equivalent model, the modal characteristics of the corrugated sandwich panel were extracted, and the p-k method was employed for thermal flutter analysis to evaluate the aerodynamic response. The results show that this method improves computational efficiency by 80%, and the error is controlled within 3%.

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