Multifidelity Surrogate Modeling of Experimental and Computational Aerodynamic Data Sets

Kuya, Yuichi; Takeda, Kenji; Zhang, Xin; Forrester, Alexander I. J.

doi:10.2514/1.j050384

Cited by 121 publications

(39 citation statements)

References 24 publications

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“…Whilst this simple example illustrates the clear advantages that a multi-fidelity approach can bring, which has been mirrored by results presented within the literature [2,3,7,17,24], to date a number of important questions relating to the general application of such approaches have yet to be addressed:…”

Section: Introductionmentioning

confidence: 83%

“…As the performance of any surrogate based optimization is determined by the accuracy of the model a more accurate model can significantly reduce the total number of simulations required for an optimization. Such multi-fidelity approaches have been successfully employed throughout the literature in the design optimization of airfoils [17,24,26], wings [3], compressor rotors [2], combustors [25] and the creation of aerodynamic models [7,[9][10][11]26]. 1 An example of single and multi-fidelity Kriging [5] Figure 1 is a simple example, recreated from Forrester et al [5], of the advantages that multi-fidelity Kriging can offer if used to create a surrogate model.…”

Section: Introductionmentioning

confidence: 99%

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Some considerations regarding the use of multi-fidelity Kriging in the construction of surrogate models

Toal

2014

Struct Multidisc Optim

109

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Surrogate models or metamodels are commonly used to exploit expensive computational simulations within a design optimization framework. The application of multi-fidelity surrogate modeling approaches has recently been gaining ground due to the potential for further reductions in simulation effort over single fidelity approaches. However, given a black box problem when exactly should a designer select a multi-fidelity approach over a single fidelity approach and vice versa? Using a series of analytical test functions and engineering design examples from the literature, the following paper illustrates the potential pitfalls of choosing one technique over the other without a careful consideration of the optimization problem at hand. These examples are then used to define and validate a set of guidelines for the creation of a multi-fidelity Kriging model. The resulting guidelines state that the different fidelity functions should be well correlated, that the amount of low fidelity data in the model should be greater than the amount of high fidelity data and that more than 10% and less than 80% of the total simulation budget should be spent on low fidelity simulations in order for the resulting multi-fidelity model to perform better than the equivalent costing high fidelity model.

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Section: Introductionmentioning

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Some considerations regarding the use of multi-fidelity Kriging in the construction of surrogate models

Toal

2014

Struct Multidisc Optim

109

View full text Add to dashboard Cite

show abstract

“…The literature contains a number of examples of the effectiveness of this technique on problems including airfoil design [23][24][25], the creation of aerodynamic models [25][26][27][28][29], compressor blade design [3] and even whole engine optimization [10].…”

Section: Krigingmentioning

confidence: 99%

Isothermal Combustor Prediffuser and Fuel Injector Feed Arm Design Optimization Using the prometheus Design System

Zhang

Toal

Keane

et al. 2015

Journal of Engineering for Gas Turbines and Power

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The prometheus combustor design system aims to reduce the complexity of evaluating combustor designs by automatically defining preprocessing, simulation, and postprocessing tasks based on the automatic identification of combustor features within the computer-aided design (CAD) environment. This system enables best practice to be codified and topological changes to a combustor's design to be more easily considered within an automated design process. The following paper presents the prometheus combustor design system and its application to the multiobjective isothermal optimization of a combustor prediffuser and the multifidelity isothermal optimization of a fuel injector feed arm in combination with a surrogate modeling strategy accelerated via a high-performance graphical processing unit (GPU).

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“…To increase the accuracy of the surrogate model, adaptive refinement after the initial construction can be useful in better capturing the optima in the design space [29]. A limited number of applications of surrogate-based design to VGs has been shown [30][31][32], demonstrating the feasibility of the approach to this design problem.…”

mentioning

confidence: 99%

Adaptive Surrogate-Based Optimization of Vortex Generators for Tiltrotor Geometry

Bevan

Poole

Allen

et al. 2017

Journal of Aircraft

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Design of vortex generators (VGs) on a tiltrotor aircraft infinite wing is presented using an adaptive surrogate modelling approach. Particular design issues in tiltrotors produce wings that are thick and highly loaded, so separation and early onset buffet can be problematic and VGs are commonly used to alleviate these issues. In this work, the design of VGs for elimination of separation is considered using a viscous flowfield simulations. A large design space of rectangular vane-type vortex generators is sampled and simulated, and a radial basis function surrogate model is implemented to model the full design space. An efficient adaptive sampling approach for improved design space sampling has also been developed that balances the properties of space-filling, curvature capture and optimum locating. This approach has been tested on the design of a VG on a highly loaded infinite wing, with a representative tiltrotor airfoil section, using a five-dimensional design space. Design of the VGs using this approach shows that elimination of the separation is possible whilst simultaneously reducing the drag of the wing with optimized the VGs, compared to the clean wing.

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Multifidelity Surrogate Modeling of Experimental and Computational Aerodynamic Data Sets

Cited by 121 publications

References 24 publications

Some considerations regarding the use of multi-fidelity Kriging in the construction of surrogate models

Some considerations regarding the use of multi-fidelity Kriging in the construction of surrogate models

Isothermal Combustor Prediffuser and Fuel Injector Feed Arm Design Optimization Using the prometheus Design System

Adaptive Surrogate-Based Optimization of Vortex Generators for Tiltrotor Geometry

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