Title page for ETD etd-11072006-134214


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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