Cfd vision 2030 road map: Progress and perspectives
View Video Presentation: https://doi. org/10.2514/6.2021-2726. vid In 2014, the CFD Vision
2030 Report proposed a desired status for aerospace CFD by 2030 that included several …
2030 Report proposed a desired status for aerospace CFD by 2030 that included several …
Multifidelity prediction in wildfire spread simulation: Modeling, uncertainty quantification and sensitivity analysis
Wildfire behavior predictions typically suffer from significant uncertainty. However, wildfire
modeling uncertainties remain largely unquantified in the literature, mainly due to computing …
modeling uncertainties remain largely unquantified in the literature, mainly due to computing …
Design exploration and optimization under uncertainty
Computational strategies that explicitly quantify uncertainties are becoming increasingly
used in aerospace applications to improve the consistency in reliability, robustness, and …
used in aerospace applications to improve the consistency in reliability, robustness, and …
Active subspaces of airfoil shape parameterizations
Design and optimization benefit from understanding the dependence of a quantity of interest
(eg, a design objective or constraint function) on the design variables. A low-dimensional …
(eg, a design objective or constraint function) on the design variables. A low-dimensional …
Quantification of Reynolds-averaged-Navier–Stokes model-form uncertainty in transitional boundary layer and airfoil flows
It is well known that the Boussinesq turbulent-viscosity hypothesis can introduce uncertainty
in predictions for complex flow features such as separation, reattachment, and laminar …
in predictions for complex flow features such as separation, reattachment, and laminar …
Improving swath seakee** performance using multi-fidelity Gaussian process and Bayesian optimization
We construct a multi-fidelity framework for statistical learning and global optimization that is
capable of effectively synthesizing seakee** predictions having two different levels of …
capable of effectively synthesizing seakee** predictions having two different levels of …
Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence
Particle-laden turbulent flows subject to radiative heating are relevant in many applications,
for example concentrated solar power receivers. Efficient and accurate simulations provide …
for example concentrated solar power receivers. Efficient and accurate simulations provide …
Theoretical analysis of tensor perturbations for uncertainty quantification of Reynolds averaged and subgrid scale closures
With the advent of improved computational resources, alternate design approaches that
explicitly account for uncertainty in predictions, such as robust-and reliability-based design …
explicitly account for uncertainty in predictions, such as robust-and reliability-based design …
On the influence of uncertainty in computational simulations of a high-speed jet flow from an aircraft exhaust
A classic approach to Computational Fluid Dynamics (CFD) is to perform simulations with a
fixed set of variables in order to account for parameters and boundary conditions. However …
fixed set of variables in order to account for parameters and boundary conditions. However …
Efficient calibration of a turbine disc heat transfer model under uncertainty
This paper presents a novel surrogate modeling approach that enables the application of
Bayesian calibration to a gas turbine disc finite element (FE) heat transfer model. The …
Bayesian calibration to a gas turbine disc finite element (FE) heat transfer model. The …