Search results for: AERODYNAMIC SHAPE OPTIMIZATION - Bridge of Knowledge

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Search results for: AERODYNAMIC SHAPE OPTIMIZATION
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Search results for: AERODYNAMIC SHAPE OPTIMIZATION

  • Constrained aerodynamic shape optimization using neural networks and sequential sampling

    Publication

    - Year 2023

    Aerodynamic shape optimization (ASO) involves computational fluid dynamics (CFD)-based search for an optimal aerodynamic shape such as airfoils and wings. Gradient-based optimization (GBO) with adjoints can be used efficiently to solve ASO problems with many design variables, but problems with many constraints can still be challenging. The recently created efficient global optimization algorithm with neural network (NN)-based prediction...

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  • Aerodynamic Shape Optimization for Delaying Dynamic Stall of Airfoils by Regression Kriging

    Publication

    - Year 2020

    The phenomenon of dynamic stall produce adverse aerodynamic loading which can adversely affect the structural strength and life of aerodynamic systems. Aerodynamic shape optimization (ASO) provides an effective approach for delaying and mitigating dynamic stall characteristics without the addition of auxiliary system. ASO, however, requires multiple evaluations time-consuming computational fluid dynamics models. Metamodel-based...

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  • Expedited constrained multi-objective aerodynamic shape optimization by means of physics-based surrogates

    Publication

    - APPLIED MATHEMATICAL MODELLING - Year 2016

    In the paper, computationally efficient constrained multi-objective design optimization of transonic airfoil profiles is considered. Our methodology focuses on fixed-lift design aimed at finding the best possible trade-offs between the two objectives: minimization of the drag coefficient and maximization of the pitching moment. The algorithm presented here exploits the surrogate-based optimization principle, variable-fidelity computational...

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  • Aerodynamic shape optimization by variable-fidelity computational fluid dynamics models: a review of recent progress

    Publication

    - Journal of Computational Science - Year 2015

    A brief review of some recent variable-fidelity aerodynamic shape optimization methods is presented.We discuss three techniques that—by exploiting information embedded in low-fidelity computationalfluid dynamics (CFD) models—are able to yield a satisfactory design at a low computational cost, usu-ally corresponding to a few evaluations of the original, high-fidelity CFD model to be optimized. Thespecific techniques considered here...

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  • Multi-fidelity robust aerodynamic design optimization under mixed uncertainty

    Publication
    • H. Shah
    • S. Hosder
    • S. Kozieł
    • Y. Tesfahunegn
    • L. Leifsson

    - AEROSPACE SCIENCE AND TECHNOLOGY - Year 2015

    The objective of this paper is to present a robust optimization algorithm for computationally efficient airfoil design under mixed (inherent and epistemic) uncertainty using a multi-fidelity approach. This algorithm exploits stochastic expansions derived from the Non-Intrusive Polynomial Chaos (NIPC) technique to create surrogate models utilized in the optimization process. A combined NIPC expansion approach is used, where both...

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  • Multiobjective Aerodynamic Optimization by Variable-Fidelity Models and Response Surface Surrogates

    Publication

    - AIAA JOURNAL - Year 2016

    A computationally efficient procedure for multiobjective design optimization with variable-fidelity models and response surface surrogates is presented. The proposed approach uses the multiobjective evolutionary algorithm that works with a fast surrogate model, obtained with kriging interpolation of the low-fidelity model data enhanced by space-mapping correction exploiting a few high-fidelity training points. The initial Pareto...

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  • Fast Multi-Objective Aerodynamic Optimization Using Sequential Domain Patching and Multifidelity Models

    Publication

    - JOURNAL OF AIRCRAFT - Year 2020

    Exploration of design tradeoffs for aerodynamic surfaces requires solving of multi-objective optimization (MOO) problems. The major bottleneck here is the time-consuming evaluations of the computational fluid dynamics (CFD) model used to capture the nonlinear physics involved in designing aerodynamic surfaces. This, in conjunction with a large number of simulations necessary to yield a set of designs representing the best possible...

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  • Variable-fidelity CFD models and co-Kriging for expedited multi-objective aerodynamic design optimization

    Publication

    - ENGINEERING COMPUTATIONS - Year 2016

    Purpose – Strategies for accelerated multi-objective optimization of aerodynamic surfaces are investigated, including the possibility of exploiting surrogate modeling techniques for computational fluid dynamic (CFD)-driven design speedup of such surfaces. The purpose of this paper is to reduce the overall optimization time. Design/methodology/approach – An algorithmic framework is described that is composed of: a search space reduction,...

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  • Arterial cannula shape optimization by means of the rotational firefly algorithm

    The article presents global optimization results of arterial cannula shapes by means of the newly modified firefly algorithm. The search for the optimal arterial cannula shape is necessary in order to minimize losses and prepare the flow that leaves the circulatory support system of a ventricle (i.e. blood pump) before it reaches the heart. A modification of the standard firefly algorithm, the so-called rotational firefly algorithm,...

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  • Variable-fidelity shape optimization of dual-rotor wind turbines

    Publication

    - ENGINEERING COMPUTATIONS - Year 2018

    Purpose Dual-rotor wind turbines (DRWTs) are a novel type of wind turbines that can capture more power than their single-rotor counterparts. Because their surrounding flow fields are complex, evaluating a DRWT design requires accurate predictive simulations, which incur high computational costs. Currently, there does not exist a design optimization framework for DRWTs. Since the design optimization of DRWTs requires numerous model...

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