Free-form deformation, mesh morphing and reduced-order methods: enablers for efficient aerodynamic shape optimisation

@article{Salmoiraghi2018FreeformDM,
  title={Free-form deformation, mesh morphing and reduced-order methods: enablers for efficient aerodynamic shape optimisation},
  author={Filippo Salmoiraghi and Angela Scardigli and Haysam Telib and Gianluigi Rozza},
  journal={International Journal of Computational Fluid Dynamics},
  year={2018},
  volume={32},
  pages={233 - 247}
}
ABSTRACT In this work, we provide an integrated pipeline for the model-order reduction of turbulent flows around parametrised geometries in aerodynamics. In particular, free-form deformation is applied for geometry parametrisation, whereas two different reduced-order models based on proper orthogonal decomposition (POD) are employed in order to speed-up the full-order simulations: the first method exploits POD with interpolation, while the second one is based on domain decomposition. For the… 

An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques

This contribution describes the implementation of a data-driven shape optimization pipeline in a naval architecture application. We adopt reduced order models in order to improve the efficiency of

Efficient aerodynamic shape optimization through free-form mesh morphing and reduced order CFD modeling

A technique combining mesh morphing and reduced order modeling is proposed for efficient aerodynamic optimization based on CFD simulations that avoids the time-consuming procedure of geometry discretization and speeds up the procedure of field solution by combining pre-computed solution snapshots.

Efficient aerodynamic shape optimization through reduced order CFD modeling

A technique combining mesh morphing and reduced order modeling is proposed for efficient aerodynamic optimization based on CFD simulations, which avoids the time-consuming procedure of geometry discretization and speeds up the procedure of field solution by exploiting pre-computed solution snapshots.

Efficient aerodynamic shape optimization through reduced order CFD modeling

Although computational power is increasingly available, high-fidelity simulation based aerodynamic shape optimization is still challenging for industrial applications. To make the simulation based

Reduced order modelling for turbomachinery shape design

ABSTRACT Reduced order modelling (ROM) techniques allow to reduce the cost of shape optimisation problems. In the present work, the compressible turbulent flow around a gas turbine profile is studied

Reduced Order Isogeometric Analysis Approach for PDEs in Parametrized Domains

This work adopts the free-form deformation method to obtain the parametric formulation of the domain and proper orthogonal decomposition with interpolation for the computational reduction of the model.

An efficient shape parametrisation by free-form deformation enhanced by active subspace for hull hydrodynamic ship design problems in open source environment

The main idea of this work is to employ the active subspaces to identify possible lower dimensional structures in the parameter space, or to verify the parameter distribution in the position of the control points, as part of the hull hydrodynamic design problem.

Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems

The main idea of this work is to employ the active subspaces properties to identify possible lower dimensional structures in the parameter space to reduce the total ship drag.

References

SHOWING 1-10 OF 70 REFERENCES

Enabling of Large Scale Aerodynamic Shape Optimization Through POD-Based Reduced-Order Modeling and Free Form Deformation

An extension of the classical Free-Form Deformation techniques is derived in order to handle efficiently constraints regarding fixed and deformable portions of the geometry and to impose the smoothness at the interface between the two different regions.

Parametric free-form shape design with PDE models and reduced basis method

Efficient geometrical parametrisation techniques of interfaces for reduced-order modelling: application to fluid–structure interaction coupling problems1

An efficient methodology to select the geometrical control points for the radial basis functions based on a modal greedy algorithm is proposed to improve the computational efficiency in view of more complex fluid–structure applications in several fields.

Isogeometric analysis-based reduced order modelling for incompressible linear viscous flows in parametrized shapes

The proposed reduced order model combines efficient shape deformation and accurate and stable velocity and pressure approximation for incompressible viscous flows, computed with a reduced order method, and is applied to computational fluid dynamics problems considering a Stokes flow model.

Aerodynamic Shape Optimization Based on Free-form Deformation

This paper presents a free-form deformation technique suitable for aerodynamic shape optimization. Because the proposed technique is independent of grid topology, we can treat structured and

Parametric Deformation of Discrete Geometry for Aerodynamic Shape Design

An intuitive custom deformation method in which a set of surface points serve as the design variables and user-specified constraints are intrinsically satisfied is implemented, which is an important first step towards the larger goal of leveraging the investment of the graphics industry to improve the state-of-the-art in aerospace geometry tools.

Free Form Deformation Techniques Applied to 3D Shape Optimization Problems

This work tested and studied the Free Form Deformation parametrization technique by establishing a path, from the geometry definition, to the method implementation, and finally to the simulation and to the optimization of the shape.

On Shape Deformation Techniques for Simulation-Based Design Optimization

An in-depth analysis and benchmark of shape deformation techniques for their use in simulation-based design optimization scenarios, as well as a detailed assessment of the methods and concrete advice on choosing a suitable technique for a given optimization scenario.

Advances in geometrical parametrization and reduced order models and methods for computational fluid dynamics problems in applied sciences and engineering: overview and perspectives

This work presents some illustrative industrial and biomedical problems as examples of recent advances on methodological developments, and deals with the management of parametrized interfaces in multiphysics problems, such as fluid-structure interaction problems, and also a domain decomposition based approach for complex parametrization networks.

Proper Orthogonal Decomposition as Surrogate Model for Aerodynamic Optimization

A surrogate model based on the proper orthogonal decomposition is developed in order to enable fast and reliable evaluations of aerodynamic fields. The proposed method is applied to subsonic
...