Collaborative Pazy Wing Analyses for the Third Aeroelastic Prediction Workshop

Ritter, Markus; Hilger, Jonathan; Ribeiro, André; Öngüt, Alp Emre; Righi, Marcello; Raveh, Daniella E.; Drachinsky, Ariel; Riso, Cristina; Cesnik, Carlos E.; Stanford, Bret; Chwalowski, Pawel; Kovvali, Ravi K.; Duessler, Stefanie; Cheng, Kelvin C.; Palacios, Rafael; dos Santos, João P.; Marques, Flavio D.; Ribeiro Begnini, Guilherme R.; Verri, Angelo A.; Lima, Joao J.; de Melo, Felipe B.; Bussamra, Flavio L.

doi:10.2514/6.2024-0419

AIAA SCITECH 2024 Forum 2024

DOI: 10.2514/6.2024-0419

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Collaborative Pazy Wing Analyses for the Third Aeroelastic Prediction Workshop

Markus Ritter,

Jonathan Hilger,

André Ribeiro

et al.

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Cited by 2 publications

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Accelerating aeroelastic UVLM simulations by inexact Newton algorithms

Schubert,

Steinbach,

Hente

et al. 2024

Comput Mech

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We consider the aeroelastic simulation of flexible mechanical structures submerged in subsonic fluid flows at low Mach numbers. The nonlinear kinematics of flexible bodies are described in the total Lagrangian formulation and discretized by finite elements. The aerodynamic loads are computed using the unsteady vortex-lattice method wherein a free wake is tracked over time. Each implicit time step in the dynamic simulation then requires solving a nonlinear equation system in the structural variables with additional aerodynamic load terms. Our focus here is on the efficient numerical solution of this system by accelerating the Newton algorithm. The particular structure of the aeroelastic nonlinear system suggests the structural derivative as an approximation to the full derivative in the linear Newton system. We investigate and compare two promising algorithms based on this approximation, a quasi-Newton type algorithm and a novel inexact Newton algorithm. Numerical experiments are performed on a flexible plate and on a wind turbine. Our computational results show that the approximation can indeed accelerate the Newton algorithm substantially. Surprisingly, the theoretically preferable inexact Newton algorithm is much slower than the quasi-Newton algorithm, which motivates further research to speed up derivative evaluations.

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Accelerating aeroelastic UVLM simulations by inexact Newton algorithms

Schubert,

Steinbach,

Hente

et al. 2024

Comput Mech

View full text Add to dashboard Cite

show abstract

Analytical Linearization of Aerodynamic Loads in Unsteady Vortex-Lattice Method for Nonlinear Aeroelastic Applications

Hente,

Roccia,

Rolfes

et al. 2024

AIAA Journal

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This paper presents the analytical linearization of aerodynamic loads (computed with the unsteady vortex-lattice method), which is formulated as tangent matrices with respect to the kinematic states of the aerodynamic grid. The loads and their linearization are then mapped to a nonlinear structural model by means of radial-basis functions, allowing for a two-way strong interaction scheme. The structural model comprises geometrically exact beams formulated in a director-based total Lagrangian description, circumventing the need for rotational degrees of freedom. The structural model is spatially discretized into finite elements and temporally discretized with the help of an implicit scheme that identically preserves momenta and energy. The resulting nonlinear discrete equations are solved by applying Newton’s method, requiring calculating the Jacobians of the whole aeroelastic system. The correctness of the linearized loads is then shown by direct comparison with their numerical counterparts. In addition, we employ our strongly coupled aeroelastic model to investigate the nonlinear static and dynamic behavior of a suspension bridge. With this approach, we successfully investigate the numerical features of the aeroelastic system under divergence and flutter conditions.

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Collaborative Pazy Wing Analyses for the Third Aeroelastic Prediction Workshop

Cited by 2 publications

References 34 publications

Accelerating aeroelastic UVLM simulations by inexact Newton algorithms

Accelerating aeroelastic UVLM simulations by inexact Newton algorithms

Analytical Linearization of Aerodynamic Loads in Unsteady Vortex-Lattice Method for Nonlinear Aeroelastic Applications

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