Efficient multi-fidelity reduced-order modeling for nonlinear flutter prediction

X Wang, S Song, X Peng, W Zhang - Aerospace Science and Technology, 2024 - Elsevier
Flutter prediction is an important part of aircraft design. However, high-fidelity predictions for
transonic flutter are difficult to make because of the associated computational costs. This …

Flutter analysis of a long-span triple-tower suspension bridge under typhoon winds with non-uniform spanwise profile

T Tao, H Wang, X Wen, A Fenerci - Structures, 2024 - Elsevier
Flutter is a significant concern in the safe design of long-span bridges, and its evaluation
traditionally assumes a uniform wind field along the span. However, in the horizontal plane …

Reconstructing Attractors of a Conceptual Airfoil System via Next Generation Reservoir Computing

Q Liu, H Nakao, X Wang, G Li, X Liu, Y Xu - AIAA Journal, 2024 - arc.aiaa.org
Reconstructing attractors of airfoil systems from observations facilitates understanding of
aeroelasticity, especially the onset of flutter. However, it is generally difficult due to …

Exploring Multi-Fidelity Data in Materials Science: Challenges, Applications, and Optimized Learning Strategies

Z Wang, X Liu, H Chen, T Yang, Y He - Applied Sciences, 2023 - mdpi.com
Machine learning techniques offer tremendous potential for optimizing resource allocation in
solving real-world problems. However, the emergence of multi-fidelity data introduces new …

Flutter Prediction Using Reduced-Order Modeling with Error Estimation

BM Lowe, DW Zingg - AIAA Journal, 2022 - arc.aiaa.org
This paper presents a methodology for dynamic aeroelastic analysis of aircraft based on
model order reduction with error estimation. A projection-based model order reduction …

Multifidelity aerodynamic shape optimization for mitigating dynamic stall using Cokriging regression-based infill

V Raul, L Leifsson - Structural and Multidisciplinary Optimization, 2023 - Springer
This work proposes a multifidelity modeling approach to mitigate adverse characteristics of
airfoil dynamic stall through aerodynamic shape optimization (ASO). Cokriging regression …

Parametric Aeroservoelastic-Gust Reduced-Order Models with State Consistence Enforcement

J Kim, JI Shu, Y Wang, J Simac… - AIAA SCITECH 2024 …, 2024 - arc.aiaa.org
This paper presents a novel data-driven, parametric AeroServoElastic-Gust reduced-order
models (ASEG-ROMs) in the state-space form to capture complex dynamic interactions …

Efficient Aircraft Flutter Analysis Using Model Order Reduction With Error Estimation

BM Lowe - 2022 - search.proquest.com
Fast and accurate aircraft flutter analysis in the transonic regime remains an open problem
due to the high computational cost of accurately modelling transient aerodynamic forces. In …

[PDF][PDF] EFFICIENT MULTI-FIDELITY REDUCED-ORDER MODELING FOR FLUTTER PREDICTIONS ACROSS MULTIPLE MACH NUMBERS

X Wang, X Peng, H Liu, J Kou, W Zhang - icas.org
Flutter prediction is an important phenomenon that need to be considered in aircraft design.
However, highfidelity predictions for transonic flutter are difficult to make due to the …