9 citations · 13 across the 4 of their papers we have counts for
5 papers
Adaptive Computing for Scale-up Problems
Kevin Patrick Griffin, Hilary Egan, Marc T. Henry de Frahan +11
Adaptive Computing is an application-agnostic outer loop framework to strategically deploy simulations and experiments to guide decision making for scale-up analysis. Resources are…
Separable Shape Tensors for Aerodynamic Design
Zachary Grey, Olga Doronina, Andrew Glaws
Airfoil shape design is a classical problem in engineering and manufacturing. In this work, we combine principled physics-based considerations for the shape design problem with mod…
Grassmannian Shape Representations for Aerodynamic Applications
Olga A. Doronina, Zachary J. Grey, Andrew Glaws
Airfoil shape design is a classical problem in engineering and manufacturing. Our motivation is to combine principled physics-based considerations for the shape design problem with…
Parameter Estimation for RANS Models Using Approximate Bayesian Computation
Olga A. Doronina, Scott M. Murman, Peter E. Hamlington
We use approximate Bayesian computation (ABC) to estimate unknown parameter values, as well as their uncertainties, in Reynolds-averaged Navier-Stokes (RANS) simulations of turbule…
Parameter Estimation for Subgrid-Scale Models Using Markov Chain Monte Carlo Approximate Bayesian Computation
Olga A. Doronina, Colin A. Z. Towery, Peter E. Hamlington
We use approximate Bayesian computation (ABC) combined with an "improved" Markov chain Monte Carlo (IMCMC) method to estimate posterior distributions of model parameters in subgrid…