High-Efficient parametric aeroelastic modeling and experimental validation for a morphing aircraft testbed

This paper presents a novel, highly efficient parametric modeling method for fast aeroelastic analysis and vehicle-mounted test validation. The most attractive feature is that the parameter-varying structural dynamics due to the morphing process is presented via the Craig–Bampton mode synthesis approach. The aerodynamic forces are computed via a GPGPU-based unsteady vortex-lattice method. The modeling procedure results in a parametric, low-dimensional aeroelastic modeling method that enables efficient aeroelastic analysis of the morphing aircraft. This paper presents a folding-wing aircraft designed and manufactured to validate the accuracy and efficiency of the proposed modeling method. A single-of-freedom folding scheme is proposed in the form of spiral bonding. Through the symmetrical boundary of the mechanism, the symmetry of the morphing wings on both sides is strictly guaranteed. Numerical results illustrate that the parametric method can effectively capture the primary modes and their variation trends across a wide range of morphing parameters. The results show the aerodynamic computation efficiency improved by three orders of magnitude. Furthermore, the results indicate that the morphing aircraft of concern may suffer from a divergent motion at small folding angles and exhibit a flutter at large folding angles. These aeroelastic behaviors of the morphing aircraft are nonlinear dynamics by nature.

Authors

Institutions

Publication Details

Journal
Mechanical Systems and Signal Processing
Published
2025-04-04
DOI
https://doi.org/10.1016/j.ymssp.2025.112635
Citations
2
Primary Topic
Aeroelasticity and Vibration Control
Type
article
Field-Weighted Citation Impact
9.99

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-Efficient parametric aeroelastic modeling and experimental validation for a morphing aircraft testbed

Shijie Yu, Rui Huang, Haiyan Hu, Xinghua Zhou et al.
2 citations
Mechanical Systems and Signal Processing
Aeroelasticity and Vibration Control
9.99
article

High-Efficient parametric aeroelastic modeling and experimental validation for a morphing aircraft testbed

Shijie Yu, Rui Huang, Haiyan Hu, Xinghua Zhou, Zimin Fan
article en
2 citations

Abstract

This paper presents a novel, highly efficient parametric modeling method for fast aeroelastic analysis and vehicle-mounted test validation. The most attractive feature is that the parameter-varying structural dynamics due to the morphing process is presented via the Craig–Bampton mode synthesis approach. The aerodynamic forces are computed via a GPGPU-based unsteady vortex-lattice method. The modeling procedure results in a parametric, low-dimensional aeroelastic modeling method that enables efficient aeroelastic analysis of the morphing aircraft. This paper presents a folding-wing aircraft designed and manufactured to validate the accuracy and efficiency of the proposed modeling method. A single-of-freedom folding scheme is proposed in the form of spiral bonding. Through the symmetrical boundary of the mechanism, the symmetry of the morphing wings on both sides is strictly guaranteed. Numerical results illustrate that the parametric method can effectively capture the primary modes and their variation trends across a wide range of morphing parameters. The results show the aerodynamic computation efficiency improved by three orders of magnitude. Furthermore, the results indicate that the morphing aircraft of concern may suffer from a divergent motion at small folding angles and exhibit a flutter at large folding angles. These aeroelastic behaviors of the morphing aircraft are nonlinear dynamics by nature.

Mechanical Systems and Signal ProcessingVol. 230
Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 3%
Aeroelasticity and Vibration Control
9.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

High-Efficient parametric aeroelastic modeling and experimental validation for a morphing aircraft testbed — Shijie Yu, Rui Huang, et al. · Mechanical Systems and Signal Processing (2025) | TGRS Research Map | TGRS