Avinash Subramanian
Sessions
We present OptimalUncertaintyQuantification.jl: A SciML package for end-to-end distributionally robust uncertainty quantification of static and dynamic systems models. The tool performs a worst-case analysis so as to make certification/decertification decisions on engineering models defined in ModelingToolkit.jl as demonstrated on a variety of aerospace and structural engineering applications.
This talk demonstrates how the difficult problem of modeling fluid systems is tackled in JuliaSim. We will cover various numerical and symbolic challenges that we face and then provide a detailed discussion of how we model the properties of different types of fluids across a range of engineering applications including applications like HVAC, power fluids and so on.