An open-source integrated computational environment for multi-physics/phase simulations, optimization and uncertainty quantification
Presented at the 15th US National Congress on Computational Mechanics, Austin, Texas, July 2019. Presentation withdrawn at the author's request; see the following article for an expansion on the topic:
Elmer FEM-Dakota: A unified open-source computational framework for electromagnetics and data analytics
Traditionally, multi-physics simulation software programs lack tools for uncertainty quantification and optimization. More recently, there is a growing body of research that has integrated these tools into multi-physics simulation software programs. Building on this methodology, the study integrated open-source software programs -- DAKOTA for optimization and uncertainty quantification and ELMER for multi-physics/phase/scale simulations. Furthermore, the coupled software was successfully applied to benchmarks. The overarching goal was to develop an open-source integrated computational environment for multi-physics/phase/scale simulation, optimization and uncertainty quantification. The applications of this integrated computational environment span several industries ranging from aerospace and energy to healthcare and manufacturing.