Enhanced mechanical property evaluation using innovative data analytics capability

Abstract

This report focuses on efforts to improve Multiphysics Object-Oriented Simulation Environment (MOOSE) for mechanical property evaluation using data analytics. These efforts involve improvements to the stochastic tools module (STM) for stochastic simulations of MOOSE multiphysics model and the development of inverse optimization capabilities. The report gives an overview of the STM and describes recent updates to its core capabilities and theory on its reduced-order model (ROM) schemes. Examples are also provided showing the impact of these updates and exhibits the usefulness of ROMs. An overview of the gradient based inverse optimziation algorithms are given along with examples of their application to source identification. Inverse optimization will provide a new methodology in STM for fitting model parameters to experimental data.