Multistage design of high-aspect-ratio wings: Geometrically nonlinear topology optimization with aero-structural coupling

• A novel multi-material optimization framework that combines geometric nonlinearity with weak aero-structural coupling for the high-aspect-ratio wings. • A displacement transfer method based on CAD reverse modeling and an aerodynamic load transfer method based on spatial search are proposed for topology optimization considering aero-structural coupling. • The optimized configurations are reconstructed with lightweight-potential truss structures and further size optimization is performed to explore the lightweight potential. High-aspect-ratio wings for solar-powered UAVs (Unmanned Aerial Vehicles) require ultra-lightweight structural designs capable of withstanding large deformations induced by aerodynamic loads. Traditional topology optimization methods often overlook the interplay between geometric nonlinearity and aero-structural coupling, limiting their effectiveness for flexible wing systems. This study proposes a multi-material topology optimization framework that integrates geometric nonlinearity with weak aero-structural coupling. The three-field approach, incorporating directional length scale control and deformation control, is employed for the geometrically nonlinear multi-material optimization. A nodal displacement-based inverse modeling method enables efficient data transfer between aerodynamic and structural meshes, while a deformation-driven load update strategy reduces computational costs. A straight wing with four case studies demonstrates that incorporating aero-structural coupling shifts high-stiffness material toward the wing root, optimizing load transfer and reducing deformation. The reconstructed truss-based design achieves an 11.29 % mass reduction via size optimization while maintaining bending and torsional constraints. This framework bridges structural optimization with aero-structural coupling, providing a systematic approach for designing lightweight, main spar-ribs based, and deformation-resistant wings.

Authors

Institutions

Publication Details

Journal
Advances in Engineering Software
Published
2026-02-09
DOI
https://doi.org/10.1016/j.advengsoft.2026.104119
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multistage design of high-aspect-ratio wings: Geometrically nonlinear topology optimization with aero-structural coupling

Longlong Song, Tong Gao, Xiaohua NIE, Pingchu Fang et al.
Advances in Engineering Software
Topology Optimization in Engineering
article

Multistage design of high-aspect-ratio wings: Geometrically nonlinear topology optimization with aero-structural coupling

Longlong Song, Tong Gao, Xiaohua NIE, Pingchu Fang, Weihong Zhang, Jihong Zhu
article en

Abstract

• A novel multi-material optimization framework that combines geometric nonlinearity with weak aero-structural coupling for the high-aspect-ratio wings. • A displacement transfer method based on CAD reverse modeling and an aerodynamic load transfer method based on spatial search are proposed for topology optimization considering aero-structural coupling. • The optimized configurations are reconstructed with lightweight-potential truss structures and further size optimization is performed to explore the lightweight potential. High-aspect-ratio wings for solar-powered UAVs (Unmanned Aerial Vehicles) require ultra-lightweight structural designs capable of withstanding large deformations induced by aerodynamic loads. Traditional topology optimization methods often overlook the interplay between geometric nonlinearity and aero-structural coupling, limiting their effectiveness for flexible wing systems. This study proposes a multi-material topology optimization framework that integrates geometric nonlinearity with weak aero-structural coupling. The three-field approach, incorporating directional length scale control and deformation control, is employed for the geometrically nonlinear multi-material optimization. A nodal displacement-based inverse modeling method enables efficient data transfer between aerodynamic and structural meshes, while a deformation-driven load update strategy reduces computational costs. A straight wing with four case studies demonstrates that incorporating aero-structural coupling shifts high-stiffness material toward the wing root, optimizing load transfer and reducing deformation. The reconstructed truss-based design achieves an 11.29 % mass reduction via size optimization while maintaining bending and torsional constraints. This framework bridges structural optimization with aero-structural coupling, providing a systematic approach for designing lightweight, main spar-ribs based, and deformation-resistant wings.

Advances in Engineering SoftwareVol. 215
Northwestern Polytechnical University (CN), Hong Kong University of Science and Technology (HK), Air Force Engineering University (CN), University of Hong Kong (HK)
Affordable and clean energy
Openalex Percentile: Top 63%
Topology Optimization in Engineering
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.