Efficient multi-fidelity reduced-order modeling for nonlinear flutter prediction
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 …
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
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 …
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
Reconstructing attractors of airfoil systems from observations facilitates understanding of
aeroelasticity, especially the onset of flutter. However, it is generally difficult due to …
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
Machine learning techniques offer tremendous potential for optimizing resource allocation in
solving real-world problems. However, the emergence of multi-fidelity data introduces new …
solving real-world problems. However, the emergence of multi-fidelity data introduces new …
Flutter Prediction Using Reduced-Order Modeling with Error Estimation
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 …
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 …
airfoil dynamic stall through aerodynamic shape optimization (ASO). Cokriging regression …
Parametric Aeroservoelastic-Gust Reduced-Order Models with State Consistence Enforcement
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 …
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 …
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
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 …
However, highfidelity predictions for transonic flutter are difficult to make due to the …