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An Embedded Statistical Method for Coupling Molecular Dynamics and Finite Element AnalysesThe coupling of molecular dynamics (MD) simulations with finite element methods (FEM) yields computationally efficient models that link fundamental material processes at the atomistic level with continuum field responses at higher length scales. The theoretical challenge involves developing a seamless connection along an interface between two inherently different simulation frameworks. Various specialized methods have been developed to solve particular classes of problems. Many of these methods link the kinematics of individual MD atoms with FEM nodes at their common interface, necessarily requiring that the finite element mesh be refined to atomic resolution. Some of these coupling approaches also require simulations to be carried out at 0 K and restrict modeling to two-dimensional material domains due to difficulties in simulating full three-dimensional material processes. In the present work, a new approach to MD-FEM coupling is developed based on a restatement of the standard boundary value problem used to define a coupled domain. The method replaces a direct linkage of individual MD atoms and finite element (FE) nodes with a statistical averaging of atomistic displacements in local atomic volumes associated with each FE node in an interface region. The FEM and MD computational systems are effectively independent and communicate only through an iterative update of their boundary conditions. With the use of statistical averages of the atomistic quantities to couple the two computational schemes, the developed approach is referred to as an embedded statistical coupling method (ESCM). ESCM provides an enhanced coupling methodology that is inherently applicable to three-dimensional domains, avoids discretization of the continuum model to atomic scale resolution, and permits finite temperature states to be applied.
Document ID
20090024836
Acquisition Source
Langley Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Saether, E.
(NASA Langley Research Center Hampton, VA, United States)
Glaessgen, E.H.
(NASA Langley Research Center Hampton, VA, United States)
Yamakov, V.
(National Inst. of Aerospace Hampton, VA, United States)
Date Acquired
August 24, 2013
Publication Date
January 1, 2008
Subject Category
Numerical Analysis
Report/Patent Number
LF99-7057
Report Number: LF99-7057
Distribution Limits
Public
Copyright
Public Use Permitted.
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