12 noon - 1pm
Thursday 28 November 2019
New developments in Global Sensitivity Analysis of engineering models
Mathematical modelling plays crucial role in the design and operation of man-made systems ranging from small appliances to industrial manufacturing and distribution facilities and further to overarching approaches such as Life Cycle Analysis. Many ensuing models encompass numerous physical, chemical, biological, economic, etc. phenomena in multi-scale settings and involve making optimal decisions regarding system configuration and its optimal model-predictive control.
However, optimal design and operation of such process systems is subject to multiple sources of uncertainty, the effect of which on model outputs (e.g., Key Performance Indicators (KPIs) of a process or Critical Quality Attributes (CQAs) of a product) must be quantified in order to ensure robust system design and operational performance.
In this talk I will give an overview of Global Sensitivity Analysis (GSA) – a tool for model analysis under uncertainty, its applications in engineering and new computational approaches for models involving inequality constraints.
University of Surrey
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