Journal of Zhejiang University

Journal of Zhejiang University SCIENCE A

Accepted manuscript available online (unedited version)

A study on feature engineering for pressure field modeling of general aircraft under multi-condition scenarios

Author(s): Hao ZHANG, Yang SHEN, Hao WANG, Wei HUANG, Yaobin NIU, Shuangxi LIU, Chaoyang LIU
Affiliation(s): National Key Laboratory of Advanced Propulsion Technology, National University of Defense Technology, Changsha 410073, China
Corresponding email(s): Hao WANG, Wei HUANG, weihuang@nudt.edu.cn
Key Words: Surrogate model; Point cloud; Pressure field; Feature fusion; Feature aggregation

Share this article to： More <<< Previous Paper \|Next Paper >>>

Hao ZHANG, Yang SHEN, Hao WANG, Wei HUANG, Yaobin NIU, Shuangxi LIU, Chaoyang LIU. A study on feature engineering for pressure field modeling of general aircraft under multi-condition scenarios[J]. Journal of Zhejiang University Science A,in press.Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/jzus.A2600117

@article{title="A study on feature engineering for pressure field modeling of general aircraft under multi-condition scenarios",
author="Hao ZHANG, Yang SHEN, Hao WANG, Wei HUANG, Yaobin NIU, Shuangxi LIU, Chaoyang LIU",
journal="Journal of Zhejiang University Science A",
year="in press",
publisher="Zhejiang University Press & Springer",
doi="https://doi.org/10.1631/jzus.A2600117"
}

%0 Journal Article
%T A study on feature engineering for pressure field modeling of general aircraft under multi-condition scenarios
%A Hao ZHANG
%A Yang SHEN
%A Hao WANG
%A Wei HUANG
%A Yaobin NIU
%A Shuangxi LIU
%A Chaoyang LIU
%J Journal of Zhejiang University SCIENCE A
%P
%@ 1673-565X
%D in press
%I Zhejiang University Press & Springer
doi="https://doi.org/10.1631/jzus.A2600117"

TY - JOUR
T1 - A study on feature engineering for pressure field modeling of general aircraft under multi-condition scenarios
A1 - Hao ZHANG
A1 - Yang SHEN
A1 - Hao WANG
A1 - Wei HUANG
A1 - Yaobin NIU
A1 - Shuangxi LIU
A1 - Chaoyang LIU
J0 - Journal of Zhejiang University Science A
SP -
EP -
%@ 1673-565X
Y1 - in press
PB - Zhejiang University Press & Springer
ER -
doi="https://doi.org/10.1631/jzus.A2600117"

Abstract
Chinese Summary
Academic Network
Reviewer Comment

Abstract: Aerodynamic modeling of three-dimensional aircraft under varying flight conditions is essential for aircraft optimization design. This study formulates the task as condition-guided regression of the surface pressure field using a point-cloud-based deep surrogate model, in which surface mesh points, geometric attributes, and flight-condition parameters are jointly represented. The dataset covers Mach number from 3.0 to 10.0 and angle of attack from -10° to 10°. Within this framework, the key challenge is how to fuse condition and geometry features and how to aggregate local geometry while preserving generalization across configurations and data scales. To address this issue, we construct task-specific datasets, design representative static and dynamic fusion modules, and perform systematic ablation experiments on geometric aggregation backbones. The obtained results lead to two practical guidelines. First, condition information should be introduced through progressive static fusion, whereas late concatenation and attention-based reweighting require caution; modulation inspired by deep operator networks is more promising when sufficient data are available. Second, a hybrid aggregation backbone that uses dynamic aggregation in dense point-cloud stages and static aggregation in sparse stages offers a better balance between accuracy and computational cost.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Full Text: <105>

CLC number:

On-line Access: 2026-05-25

Received: 2026-02-27

Revision Accepted: 2026-05-15

Crosschecked: 0000-00-00

Cited: 0

Clicked: 95

Citations: Bibtex RefMan EndNote GB/T7714

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

- Go to