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Aerodynamic design optimization: Challenges and perspectives
JRRA Martins - Computers & Fluids, 2022 - Elsevier
Antony Jameson pioneered CFD-based aerodynamic design optimization in the late 1980s.
In addition to develo** the fundamental theory, Jameson implemented that theory in …
In addition to develo** the fundamental theory, Jameson implemented that theory in …
Flutter and post-flutter constraints in aircraft design optimization
Flutter is a dynamic aeroelastic instability driven by the interaction of inertial, elastic, and
aerodynamic forces. It is an undesirable phenomenon in aircraft because it causes divergent …
aerodynamic forces. It is an undesirable phenomenon in aircraft because it causes divergent …
A review on non-linear aeroelasticity of high aspect-ratio wings
Current economic constraints and environmental regulations call for design of more efficient
aircraft configurations. An observed trend in aircraft design to reduce the lift induced drag …
aircraft configurations. An observed trend in aircraft design to reduce the lift induced drag …
Geometrically nonlinear effects in wing aeroelastic dynamics at large deflections
This paper investigates geometrically nonlinear effects due to nonlinear kinematics and
follower aerodynamics in the aeroelastic dynamics of a very flexible wing. The test case is …
follower aerodynamics in the aeroelastic dynamics of a very flexible wing. The test case is …
Adaptive composite marine propulsors and turbines: progress and challenges
In this paper, the advantages, state-of-the-art, and current challenges in the field of adaptive
composite marine propulsors and turbines are reviewed. Adaptive composites are used in …
composite marine propulsors and turbines are reviewed. Adaptive composites are used in …
Nonlinear aeroelastic reduced order modeling by recurrent neural networks
A Mannarino, P Mantegazza - Journal of Fluids and Structures, 2014 - Elsevier
The paper develops a reduction scheme based on the identification of continuous time
recursive neural networks from input–output data obtained through high fidelity simulations …
recursive neural networks from input–output data obtained through high fidelity simulations …
Uncertainty quantification in aeroelasticity
Physical interactions between a fluid and structure, potentially manifested as self-sustained
or divergent oscillations, can be sensitive to many parameters whose values are uncertain …
or divergent oscillations, can be sensitive to many parameters whose values are uncertain …
Data-driven forecasting of postflutter responses of geometrically nonlinear wings
Ensuring adequate flutter margins is a critical step in aircraft design. However, in the
presence of nonlinear effects, subcritical limit-cycle oscillations can arise even before flutter …
presence of nonlinear effects, subcritical limit-cycle oscillations can arise even before flutter …
Aeroelastic tailoring of transport aircraft wings: state-of-the-art and potential enabling technologies
C Jutte, BK Stanford - 2014 - ntrs.nasa.gov
This paper provides a brief overview of the state-of-the-art for aeroelastic tailoring of
subsonic transport aircraft and offers additional resources on related research efforts …
subsonic transport aircraft and offers additional resources on related research efforts …
Bifurcation-Diagram-Free Postflutter Response Constraint for Design Optimization
This paper introduces a new metric to constrain postflutter responses of aeroelastic systems
in design optimization. The new metric aggregates the recovery rate to equilibrium for a …
in design optimization. The new metric aggregates the recovery rate to equilibrium for a …