Supervised by: China Aerospace Science and Technology Corporation
Sponsored by: China Academy of Aerospace Aerodynamics
Chinese Society of Astronautics
China Aerospace Publishing House Co., LTD

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Cover and contents of Vol.9 No.4
2024, 9(4)
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Adaptive Multi-Fidelity Composite Deep Neural Networks
CHEN Baining, XIE Fangfang, MENG Xuhui
2024, 9(4): 1-8. DOI: 10.19527/j.cnki.2096-1642.1114
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A Modified Characteristic-Compression Embedded Discontinuity Indicator Based on Artificial Intelligence
FENG Yiwei, LIU Tiegang, LYU Lili, XU Liang, TU Guohua
2024, 9(4): 9-26. DOI: 10.19527/j.cnki.2096-1642.1039
Abstract PDF
Uncertainty Analysis of Transonic Aerodynamics for Wing-Mounted Aircraft
MO Shaochang, ZHANG Xinshuai, XIE Fangfang, JI Tingwei, ZHENG Yao
2024, 9(4): 27-38. DOI: 10.19527/j.cnki.2096-1642.1057
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Summary and Prospect of Data-Driven Aerothermal Modeling Prediction Methods
WANG Ze, SONG Shufang, WANG Xu, ZHANG Weiwei
2024, 9(4): 39-55. DOI: 10.19527/j.cnki.2096-1642.1068
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Efficient Flow Field Reconstruction Based on Ensemble Transform Kalman Filter
GUO Yuxin, HUANG Jun, ZHAO Qingyu, JI Jingjing, HUANG Yongan
2024, 9(4): 56-64. DOI: 10.19527/j.cnki.2096-1642.1090
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Investigation of a Data-Driven Method for Analyzing Impulse Tunnel Aerothermal Test Data
YI Xiangyu, YAN Ming, CHEN Xing, LIN Jian, YAO Dapeng, JI Feng, YING Ming, ZHANG Zhanyi
2024, 9(4): 65-82. DOI: 10.19527/j.cnki.2096-1642.1111
Abstract PDF