Abstract

Abstract: Uncertainty quantification and its propagation within a system is a major area of focus for much of design research including process modeling and design optimisation. New methods of uncertainty quantification based on polynomials and rational methods have arisen over the past decade that can be easily applied to a host of problems. These methods have shown tremendous success in applications ranging from aerodynamics, and structural engineering to the chemical sciences. These methods involve approximating the system using techniques of interpolation and quadratures, and then propagating the error in inputs through the interpolated approximation. This talk provides an overview of a few of these methods and a few aerospace applications.

About the speaker: Pranay Seshadri is a researcher at the Engineering Design Centre working on topology optimisation, computational fluid dynamics and uncertainty quantification towards robust turbomachinery design. He has an MS and BS in aerospace engineering.