Towards Passive Aeroelastic Tailoring of Large Wind Turbines Using High-Fidelity Multidisciplinary Design Optimization

2022 ◽  
Author(s):  
Marco Mangano ◽  
Sicheng He ◽  
Yingqian Liao ◽  
Denis-Gabriel Caprace ◽  
Joaquim R. Martins
Keyword(s):  
Design Optimization ◽  
Wind Turbines ◽  
Multidisciplinary Design Optimization ◽  
Multidisciplinary Design ◽  
High Fidelity ◽  
Aeroelastic Tailoring ◽  
Large Wind

Multidisciplinary design optimization of offshore wind turbines for minimum levelized cost of energy

2014 ◽  
Vol 68 ◽  
pp. 893-905 ◽  
Author(s):  
T. Ashuri ◽  
M.B. Zaaijer ◽  
J.R.R.A. Martins ◽  
G.J.W. van Bussel ◽  
G.A.M. van Kuik
Keyword(s):  
Design Optimization ◽  
Wind Turbines ◽  
Multidisciplinary Design Optimization ◽  
Offshore Wind ◽  
Multidisciplinary Design ◽  
Offshore Wind Turbines ◽  
Levelized Cost ◽  
Cost Of Energy

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.

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