18 citations · 23 across the 5 of their papers we have counts for
7 papers
Prior-informed Uncertainty Modelling with Bayesian Polynomial Approximations
Chun Yui Wong, Pranay Seshadri, Andrew B. Duncan +2
Orthogonal polynomial approximations form the foundation to a set of well-established methods for uncertainty quantification known as polynomial chaos. These approximations deliver…
Polynomial Ridge Flowfield Estimation
Ashley Scillitoe, Pranay Seshadri, Chun Yui Wong +1
Computational fluid dynamics plays a key role in the design process across many industries. Recently, there has been increasing interest in data-driven methods, in order to exploit…
Blade Envelopes Part II: Multiple Objectives and Inverse Design
Chun Yui Wong, Pranay Seshadri, Ashley Scillitoe +3
Blade envelopes offer a set of data-driven tolerance guidelines for manufactured components based on aerodynamic analysis. In Part I of this two-part paper, a workflow for the form…
Blade Envelopes Part I: Concept and Methodology
Chun Yui Wong, Pranay Seshadri, Ashley Scillitoe +2
Blades manufactured through flank and point milling will likely exhibit geometric variability. Gauging the aerodynamic repercussions of such variability, prior to manufacturing a c…
Uncertainty Quantification for Data-driven Turbulence Modelling with Mondrian Forests
Ashley Scillitoe, Pranay Seshadri, Mark Girolami
Data-driven turbulence modelling approaches are gaining increasing interest from the CFD community. However, the introduction of a machine learning (ML) model introduces a new sour…
All Equalities Are Equal, but Some Are More Equal Than Others: The Effect of Implementation Aliasing on the Numerical Solution to Conservation Equations
Will Trojak, Ash Scillitoe, Rob Watson
We investigate the effect of aliasing when applied to the storage of variables, and their reconstruction for the solution of conservation equations. In particular, we investigate t…
Effect of Mesh Quality on Flux Reconstruction in Multi-Dimensions
Will Trojak, Rob Watson, Ashley Scillitoe +1
Theoretical methods are developed to understand the effect of non-uniform grids on Flux Reconstruction (FR) in multi-dimensions. The analysis reveals that the same effect of expand…