A computational aeroelastic framework based on high-order structural models and high-fidelity aerodynamics

Grifò, Marco; Ronch, Andrea Da; Benedetti, Ivano

doi:10.1016/j.ast.2022.108069

Aerospace Science and Technology

2023

DOI: 10.1016/j.ast.2022.108069

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A computational aeroelastic framework based on high-order structural models and high-fidelity aerodynamics

Marco Grifò

Andrea Da Ronch

Ivano Benedetti

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Cited by 9 publications

References 62 publications

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High-order Accurate Beam Models Based on Discontinuous Galerkin Methods

Gulizzi,

Benedetti,

Milazzo

2023

Aerotec. Missili Spaz.

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A novel high-order accurate approach to the analysis of beam structures with bulk and thin-walled cross-sections is presented. The approach is based on the use of a variable-order polynomial expansion of the displacement field throughout both the beam cross-section and the length of the beam elements. The corresponding weak formulation is derived using the symmetric Interior Penalty discontinuous Galerkin method, whereby the continuity of the solution at the interface between contiguous elements as well as the application of the boundary conditions is weakly enforced by suitably defined boundary terms. The accuracy and the flexibility of the proposed approach are assessed by modeling slender and short beams with standard square cross-sections and airfoil-shaped thin-walled cross-sections subjected to bending, torsional and aerodynamic loads. The comparison between the obtained numerical results and those available in the literature or computed using a standard finite-element method shows that the present method allows recovering three-dimensional distributions of displacement and stress fields using a significantly reduced number of degrees of freedom.

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High-order Accurate Beam Models Based on Discontinuous Galerkin Methods

Gulizzi,

Benedetti,

Milazzo

2023

Aerotec. Missili Spaz.

View full text Add to dashboard Cite

show abstract

Research on aerodynamic shape optimization of reentry vehicle based on hybrid scale multi-fidelity neural network model

Zhu,

Sun,

Guo

et al. 2023

Aerospace Science and Technology

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Computational aeroelastic analysis of wings based on the structural discontinuous Galerkin and aerodynamic vortex lattice methods

Gulizzi,

Benedetti

2024

Aerospace Science and Technology

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A computational aeroelastic framework based on high-order structural models and high-fidelity aerodynamics

Cited by 9 publications

References 62 publications

High-order Accurate Beam Models Based on Discontinuous Galerkin Methods

High-order Accurate Beam Models Based on Discontinuous Galerkin Methods

Research on aerodynamic shape optimization of reentry vehicle based on hybrid scale multi-fidelity neural network model

Computational aeroelastic analysis of wings based on the structural discontinuous Galerkin and aerodynamic vortex lattice methods

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