Scalable gradient–enhanced artificial neural networks for airfoil shape design in the subsonic and transonic regimes
Airfoil shape design is one of the most fundamental elements in aircraft design. Existing
airfoil design tools require at least a few minutes to analyze a new shape and hours to …
airfoil design tools require at least a few minutes to analyze a new shape and hours to …
Global sensitivity analysis via multi-fidelity polynomial chaos expansion
The presence of uncertainties is inevitable in engineering design and analysis, where failure
in understanding their effects might lead to the structural or functional failure of the systems …
in understanding their effects might lead to the structural or functional failure of the systems …
Optimization of expensive black-box problems via Gradient-enhanced Kriging
This paper explores the use of Gradient-enhanced Kriging for optimization of expensive
black-box design problems, which is not completely limited by the conventional Efficient …
black-box design problems, which is not completely limited by the conventional Efficient …
[HTML][HTML] A screening-based gradient-enhanced Kriging modeling method for high-dimensional problems
By exploring the auxiliary information from gradients, the accuracy of Kriging model can be
improved. However, the dramatically increased time for model training tends to be …
improved. However, the dramatically increased time for model training tends to be …
Gaussian process surrogate model with composite kernel learning for engineering design
The composite kernel learning (CKL) method is introduced to efficiently construct composite
kernels for Gaussian process (GP) surrogate models with applications in engineering …
kernels for Gaussian process (GP) surrogate models with applications in engineering …
On the use of surrogate models in engineering design optimization and exploration: The key issues
Surrogate models are invaluable tools that greatly assist the process of computationally
expensive analyses and optimization. Engineering optimization reaps the benefit from …
expensive analyses and optimization. Engineering optimization reaps the benefit from …
Efficient uncertainty quantification for a hypersonic trailing-edge flap, using gradient-enhanced kriging
We present a numerical study on the uncertainty quantification (UQ) of aerodynamic forces
acting on a hypersonic trailing-edge flap model, as a result of input uncertainties in the …
acting on a hypersonic trailing-edge flap model, as a result of input uncertainties in the …
Gaussian processes and support vector regression for uncertainty quantification in aerodynamics
View Video Presentation: https://doi. org/10.2514/6.2021-0181. vid This paper investigates
the performance of two kernel-based surrogate models, namely Gaussian Process …
the performance of two kernel-based surrogate models, namely Gaussian Process …
Global Sensitivity Analysis in Aerodynamic Design using Shapley Effects and Polynomial Chaos Regression
Quantifying the impact of design variables in aerodynamic design exploration can provide
valuable insights to designers. Global sensitivity analysis (GSA) is a crucial tool in …
valuable insights to designers. Global sensitivity analysis (GSA) is a crucial tool in …
Polynomial-chaos–kriging with gradient information for surrogate modeling in aerodynamic design
This paper proposes a variant of gradient-enhanced surrogate model based on polynomial-
chaos–kriging (PCK) to assist aerodynamic design exploration. The main aim is to improve …
chaos–kriging (PCK) to assist aerodynamic design exploration. The main aim is to improve …