Model Based Systems Engineering (MBSE) is more than the traditional/descriptive modeling that is used to capture the characteristics of a system. A descriptive model can be used to inform and enable reduced order modeling. This talk will include a brief overview of the adoption of MBSE at Sandia National Laboratories (SNL) and how MBSE is being applied to the nuclear weapon (NW) program cycle reduction effort. Topics will include what is modeled, how modeling is implemented, challenges faced by our modeling efforts, and successes achieved using these models. Finally, the bridge from the descriptive to analytical models will be discussed, showing how these federated models can be utilized by SOLSTICE, our framework for reduced order modeling
Mary Compton holds a BS in Biology, Masters in Library Science, Master of Education in Science Education, and an MS in Software Engineering. In 2018 Mary joined SNL’s newly formed MBSE department. As a Systems Engineer Mary performs descriptive model-based systems engineering for NW programs.
Max Danik is a Systems Engineer supporting multiple early phase NW related programs at SNL. Max holds a BS in Mechanical Engineering Technology and a ME in Systems Engineering. His background as a Design Engineering Lead helps leverage MBSE tools to visually communicate design intent, functional decomposition, and complex interfaces earlier in the design phase to promote design understanding, consistency, and agility.
Marcus Glazebrook holds a BS in Chemical and Biomolecular Engineering and an ME in Systems Engineering. He works at SNL supporting MBSE efforts for multiple NW programs, as well as developing Automatic Test Vector Generation (ATVG) for SOLSTICE.
James Nistler holds dual BS degrees in Mechanical and General Engineering and a MS in Mechanical Engineering with a concentration in Controls. James spent his first 3 years at SNL as a component design engineer. Currently, James is Systems Engineer contributing to NW cycle reduction by advancing SOLSTICE - Sandia’s Model Based Design effort – and Hardware in the Loop.