Summary and Prospect of Data-Driven Aerothermal Modeling Prediction Methods

WANG Ze; SONG Shufang; WANG Xu; ZHANG Weiwei

doi:10.19527/j.cnki.2096-1642.1068

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WANG Ze, SONG Shufang, WANG Xu, ZHANG Weiwei. Summary and Prospect of Data-Driven Aerothermal Modeling Prediction Methods[J]. PHYSICS OF GASES. doi: 10.19527/j.cnki.2096-1642.1068

Citation:

WANG Ze, SONG Shufang, WANG Xu, ZHANG Weiwei. Summary and Prospect of Data-Driven Aerothermal Modeling Prediction Methods[J]. PHYSICS OF GASES. doi: 10.19527/j.cnki.2096-1642.1068

WANG Ze, SONG Shufang, WANG Xu, ZHANG Weiwei. Summary and Prospect of Data-Driven Aerothermal Modeling Prediction Methods[J]. PHYSICS OF GASES. doi: 10.19527/j.cnki.2096-1642.1068

Citation:

WANG Ze, SONG Shufang, WANG Xu, ZHANG Weiwei. Summary and Prospect of Data-Driven Aerothermal Modeling Prediction Methods[J]. PHYSICS OF GASES. doi: 10.19527/j.cnki.2096-1642.1068

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Summary and Prospect of Data-Driven Aerothermal Modeling Prediction Methods

doi: 10.19527/j.cnki.2096-1642.1068

WANG Ze¹,
SONG Shufang^1,2,
WANG Xu¹,
ZHANG Weiwei^{1,2
,
,}

1. School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China;
2. International Joint Institute of Intelligence on Fluid Mechanics, Northwestern Polytechnical University, Xi'an 710072, China

Received Date: 23 Jun 2023
Revised Date: 16 Aug 2023

Available Online: 13 Mar 2024

Abstract

Abstract

The accurate prediction of aerothermal loads is the basis to guide hypersonic vehicle design. Under the back- ground that classical aerothermal prediction methods are more and more difficult to meet the demand of efficient and accurate aerothermal prediction in engineering, data-driven aerothermal modeling prediction methods have gradually become a new paradigm of aerothermal prediction in recent years. Firstly, the relationship between the data-driven aerothermal modeling prediction method and the classical aerothermal prediction method was described. Then, from the modeling idea, the data-driven aerothermal modeling prediction methods were summarized into three categories:The dimensionality reduction modeling method of feature space, pointwise modeling method and physical information embedding modeling method were introduced and analyzed in detail. It is found that the data-driven aerothermal modeling prediction method is not only more accurate than the engineering algorithm, but also can effectively reduce the workload of test measurement and numerical calculation when combined with the sampling method, and the model given is more efficient and concise. Finally, the develop- ment trend of data-driven aerothermal modeling prediction methods was prospected. It is pointed out that the deep combination of data-driven technology and classical aerothermal prediction methods, aerothermal physical information embedding modeling methods and aerothermal prediction big models will be the key points of future research.
- aerodynamic thermal prediction,
- data driven,
- feature space dimensionality reduction,
- pointwise modeling,
- physical information embedding

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References(105)

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Summary and Prospect of Data-Driven Aerothermal Modeling Prediction Methods

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