28 citations · 58 across the 12 of their papers we have counts for
5 papers · 1 filter
Supporting Multi-point Fan Design with Dimension Reduction
Pranay Seshadri, Shaowu Yuchi, Shahrokh Shahpar +1
Motivated by the idea of turbomachinery active subspace performance maps, this paper studies dimension reduction in turbomachinery 3D CFD simulations. First, we show that these sub…
Spatial Flow-Field Approximation Using Few Thermodynamic Measurements Part I: Formulation and Area Averaging
Pranay Seshadri, Duncan Simpson, George Thorne +2
Our investigation raises an important question that is of relevance to the wider turbomachinery community: how do we estimate the spatial average of a flow quantity given finite (a…
Spatial Flow-Field Approximation Using Few Thermodynamic Measurements Part II: Uncertainty Assessments
Pranay Seshadri, Andrew Duncan, Duncan Simpson +2
In this second part of our two-part paper, we provide a detailed, frequentist framework for propagating uncertainties within our multivariate linear least squares model. This permi…
Extremum Sensitivity Analysis with Polynomial Monte Carlo Filtering
Chun Yui Wong, Pranay Seshadri, Geoffrey T. Parks
Global sensitivity analysis is a powerful set of ideas and heuristics for understanding the importance and interplay between uncertain parameters in a computational model. Such a m…
Embedded Ridge Approximations
Chun Yui Wong, Pranay Seshadri, Geoffrey Parks +1
Many quantities of interest (qois) arising from differential-equation-centric models can be resolved into functions of scalar fields. Examples of such qois include the lift over an…