Satellite Multidisciplinary Design Optimization with a High-Fidelity Model

2013 ◽  
Vol 50 (2) ◽  
pp. 463-466 ◽  
Author(s):  
Wenrui Wu ◽  
Hai Huang ◽  
Shenyan Chen ◽  
Beibei Wu
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Multidisciplinary Design ◽  
High Fidelity ◽  
Fidelity Model

scholarly journals High-fidelity multidisciplinary design optimization of flexible aircraft wings

2021 ◽  
Author(s):  
Brian T. Leonard
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Multidisciplinary Design ◽  
High Fidelity ◽  
Element Analysis ◽  
Aircraft Wings ◽  
Aeroelastic Analysis ◽  
Computational Fluid Dynamics Cfd ◽  
Wing Structure ◽  
Design Freedom

Multidisciplinary design optimization (MDO) was performed on an aircraft wing using high-fidelity design tools. The wing aerodynamics were analyzed using computational fluid dynamics (CFD) with FLUENT and the wing structure was analyzed via finite element analysis (FEA) in ANSYS. MATLAB was used as a wrapper to perform computational static aeroelastic analysis on any wing configuration using the aforementioned high-fidelity tools. A main program was developed to convert pressures to forces, map the CFD grid to the FEA mesh, and to transfer the FEA displacements back to the CFD grid. The static aeroelastic software was coupled with the multidisciplinary design feasible (MDF) MDO architecture using sequential quadratic programming (SQP) to perform the optimization. The optimization was given the maximum amount of design freedom to create any wing shape. Ultimately, it was found that MDO is possible using these high-fidelity tools and that, to get a true wing design, aeroelastic effects must be included in the MDO procedure.

scholarly journals High-fidelity multidisciplinary design optimization of flexible aircraft wings

2021 ◽  
Author(s):  
Brian T. Leonard
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Multidisciplinary Design ◽  
High Fidelity ◽  
Element Analysis ◽  
Aircraft Wings ◽  
Aeroelastic Analysis ◽  
Computational Fluid Dynamics Cfd ◽  
Wing Structure ◽  
Design Freedom

Multidisciplinary design optimization (MDO) was performed on an aircraft wing using high-fidelity design tools. The wing aerodynamics were analyzed using computational fluid dynamics (CFD) with FLUENT and the wing structure was analyzed via finite element analysis (FEA) in ANSYS. MATLAB was used as a wrapper to perform computational static aeroelastic analysis on any wing configuration using the aforementioned high-fidelity tools. A main program was developed to convert pressures to forces, map the CFD grid to the FEA mesh, and to transfer the FEA displacements back to the CFD grid. The static aeroelastic software was coupled with the multidisciplinary design feasible (MDF) MDO architecture using sequential quadratic programming (SQP) to perform the optimization. The optimization was given the maximum amount of design freedom to create any wing shape. Ultimately, it was found that MDO is possible using these high-fidelity tools and that, to get a true wing design, aeroelastic effects must be included in the MDO procedure.

scholarly journals High-Fidelity Multidisciplinary Design Optimization Methodology with Application to Rotor Blades

2019 ◽  
Vol 64 (3) ◽  
pp. 1-11 ◽  
Author(s):  
Li Wang ◽  
Boris Diskin ◽  
Robert T. Biedron ◽  
Eric J. Nielsen ◽  
Valentin Sonneville ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Sensitivity Analysis ◽  
Design Optimization ◽  
Turbulent Flows ◽  
Multidisciplinary Design Optimization ◽  
Computational Cost ◽  
Coupled System ◽  
Multidisciplinary Design ◽  
High Fidelity ◽  
Variable Approach

A multidisciplinary design optimization procedure has been developed and applied to rotorcraft simulations involving tightly coupled, high-fidelity computational fluid dynamics and comprehensive analysis. A discretely consistent, adjoint-based sensitivity analysis available in the fluid dynamics solver provides sensitivities arising from unsteady turbulent flows on unstructured, dynamic, overset meshes, whereas a complex-variable approach is used to compute structural sensitivities with respect to aerodynamic loads. The multidisciplinary sensitivity analysis is conducted through integrating the sensitivity components from each discipline of the coupled system. Accuracy of the coupled system for high-fidelity rotorcraft analysis is verified; simulation results exhibit good agreement with established solutions. A constrained gradient-based design optimization for a HART-II rotorcraft configuration is demonstrated. The computational cost for individual components of the multidisciplinary sensitivity analysis is assessed and improved.

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