Type of Document	Dissertation
Author	Wang, Wenming
Author's Email Address	wwang7@lsu.edu
URN	etd-11072006-134214
Title	An Adaptive Multi-scale Computational Method for Modeling Nonlinear Deformation in Nanoscale Materials
Degree	Doctor of Philosophy (Ph.D.)
Department	Civil & Environmental Engineering
Advisory Committee	Advisor Name Title Moorthy, Suresh Committee Chair Bourdin, Blaise A Committee Member Meng, Wen Jin Committee Member Voyiadjis, George Z Committee Member Twilley, Robert R Dean's Representative
Keywords	Finite Element Dislocations Adaptive Remeshing Finite Temperature Multi-scale Modeling Nanoindentation
Date of Defense	2006-09-11
Availability	unrestricted
Abstract In this dissertation a coupled multi-scale computational model for simulating nonlinear deformation processes in crystalline metals at finite temperatures is developed. The computational model uses the finite element method to model the coarse scale response of the material. The constitutive response in the finite element will be modeled through interatomic potentials acting on the underlying homogeneous crystal lattice that characterizes its nanostructure. An adaptive remeshing technique is proposed to automatically delineate regions of severe deformation where homogeneity of the microstructure/deformation is violated. In these regions the finite element will be replaced by a set of deformed atoms which interact with each other through the interatomic potential. The resulting coupled multi-scale model will be used to study defect generation and growth, through a computational nanoindentation experiment, in practical 2D and 3D problems.
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