Establishment and Optimization of Ablation Surrogate Model for Thermal Protection Material

被引:0
|
作者
Pan W. [1 ]
Gao B. [2 ]
机构
[1] Beijing Institute of Spacecraft System Engineering, Beijing
[2] School of Astronautics, Harbin Institute of Technology, Harbin
关键词
ablation; surrogate model; thermal protection material;
D O I
10.15918/j.jbit1004-0579.2022.141
中图分类号
学科分类号
摘要
The temperature response calculation of thermal protection materials, especially ablative thermal protection materials, usually adopts the ablation model, which is complicated in process and requires a large amount of calculation. Especially in the process of optimization calculation and parameter identification, the ablation model needs to be called many times, so it is necessary to construct an ablation surrogate model to improve the computational efficiency under the premise of ensuring the accuracy. In this paper, the Gaussian process model method is used to construct a thermal protection material ablation surrogate model, and the prediction accuracy of the surrogate model is improved through optimization. © 2023 Beijing Institute of Technology. All rights reserved.
引用
收藏
页码:477 / 493
页数:16
相关论文
共 50 条
  • [31] Research of numerical simulation method in thermal stress of short range high speed missile of ablation protection material
    School of Mechatrocin Engineering, Beijing Institute of Technology, Beijing 100081, China
    Xitong Fangzhen Xuebao, 2008, 15 (3966-3968+3972):
  • [32] Thermal protection during percutaneous thermal ablation of renal cell carcinoma
    Kam, AW
    Littrup, PJ
    Walther, MM
    Hvizda, J
    Wood, BJ
    JOURNAL OF VASCULAR AND INTERVENTIONAL RADIOLOGY, 2004, 15 (07) : 753 - 758
  • [33] Ablation, Thermal Response, and Chemistry Program for Analysis of Thermal Protection Systems
    Milos, F. S.
    Chen, Y. -K.
    JOURNAL OF SPACECRAFT AND ROCKETS, 2013, 50 (01) : 137 - 149
  • [34] Optimization of a dimpled channel using a surrogate model
    Kim, Kwang-Yong
    Shin, Dong-Yoon
    PROCEEDINGS OF THE ASME/JSME THERMAL ENGINEERING SUMMER HEAT TRANSFER CONFERENCE 2007, VOL 2, 2007, : 131 - 136
  • [35] Surrogate Model Selection for Evolutionary Multiobjective Optimization
    Pilat, Martin
    Neruda, Roman
    2013 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2013, : 1860 - 1867
  • [36] Using Surrogate Model for Shape Optimization of Busbar
    Petrasova, I
    Karban, P.
    Dolezel, I
    2022 23RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL PROBLEMS OF ELECTRICAL ENGINEERING (CPEE), 2022,
  • [37] Development of an adaptive surrogate model for production optimization
    Golzari, Aliakbar
    Sefat, Morteza Haghighat
    Jamshidi, Saeid
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2015, 133 : 677 - 688
  • [38] A Deep Learning Surrogate Model for Topology Optimization
    Barmada, Sami
    Fontana, Nunzia
    Formisano, Alessandro
    Thomopulos, Dimitri
    Tucci, Mauro
    IEEE TRANSACTIONS ON MAGNETICS, 2021, 57 (06)
  • [39] Optimization of CDA Blade Based on Surrogate Model
    Meng, Weishuai
    Li, Shuming
    Zhang, Hong
    Kong, Qingguo
    Zhao, Qiang
    Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [40] Robust optimization based on Kriging surrogate model
    Gao, Yuehua
    Wang, Xicheng
    Huagong Xuebao/CIESC Journal, 2010, 61 (03): : 676 - 681