Output details
12 - Aeronautical, Mechanical, Chemical and Manufacturing Engineering
University of Sheffield : A - Mechanical engineering and Advanced manufacturing
Bayesian sensitivity analysis of bifurcating nonlinear models
Numerical modelling of non-linear structures is often hampered by large variations boundary conditions making full understanding of complex structures difficult. This was the first analysis of a bifurcating system using these sensitivity methods. The technology was derived from the machine learning community. The PhD student involved went on to continue the collaboration through a research position working with world-leading sensitivity analyst (JRC Ispra – contact details available). This new line of research successfully led to a Leverhulme grant "A Novel Methodology for Modelling Complex Bio-mechanical Systems using Bayesian Uncertainty Analysis" to develop this work further [RPG-2012-816].
