Computational Mechanics
The mechanics associated with the development of modeling and simulation software requires a thorough understanding of the underlying physics along with a careful design of the numerical implementation. Here, mechanics modeling is used as an umbrella term for the development of a set of physics applications and or associated numerical methodology. Our mechanics work is aimed at building software along with numerical algorithms to support the development of sometimes specialized modeling and simulation tools. A common goal is to provide capability that is accurate, robust and amenable to high-performance computing. For some of our applications, exploratory methods are required that initially have limited use outside of the particular application but which may, in fact, lead to use on a broader set of applications. In general, it is desirable to develop capability that has broad applicability (i.e. algorithms such as non-linear solvers, meshing algorithms, etc.)
We presently are in various stages of development of M&S tools such as the hydro Lanza code, Python application interfaces, non-linear solver strategies, re-mesh algorithms, particle methods, asteroid risk mitigation simulations, structural material mechanics for GNEP, micro machining modeling, advanced time integration schemes, reactor safety studies for GNEP, and quantum computer simulation. Our strategy is to continue such development, supporting other organizations where appropriate and building capability that will use or contribute to our other initiatives (i.e. climate modeling and agent-based modeling). New capability will be provided, for instance, by the development of intelligent non-linear solvers and intelligent re-mesh techniques which may combine aspects of our present work with agent-based modeling.
Areas of Research:
Program
Contact: James H. Strickland
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