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The Fully Nonlocal, Finite-Temperature, Adaptive 3D Quasicontinuum Method for Bridging Across Scales

Citation

Tembhekar, Ishan (2018) The Fully Nonlocal, Finite-Temperature, Adaptive 3D Quasicontinuum Method for Bridging Across Scales. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/RF27-NA04. http://resolver.caltech.edu/CaltechTHESIS:04222018-122438253

Abstract

Computational modeling of metallic materials across various length and time scales has been on the rise since the advent of efficient, fast computing machines. From atomistic methods like molecular statics and dynamics at the nanoscale to continuum mechanics modeled by finite element methods at the macroscale, various techniques have been established that describe and predict the mechanics of materials. Many recent technologies, however, fall into a gap between length scales (referred to as mesoscales), with microstructural features on the order of nanometers (thereby requiring full atomistic resolution) but large representative volumes on the order of micrometers (beyond the scope of molecular dynamics). There is an urgent need to predict material behavior using scale-bridging techniques that build up from the atomic level and reach larger length and time scales. To this end, there is extensive ongoing research in building hierarchical and concurrent scale-bridging techniques to master the gap between atomistics and the continuum, but robust, adaptive schemes with finite-temperature modeling at realistic length and time scales are still missing.

In this thesis, we use the quasicontinuum (QC) method, a concurrent scale-bridging technique that extends atomistic accuracy to significantly larger length scales by reducing the full atomic ensemble to a small set of representative atoms, and using interpolation to recover the motion of all lattice sites where full atomistic resolution is not necessary. We develop automatic model adaptivity by adding mesh refinement and adaptive neighborhood updates to the new fully nonlocal energy-based 3D QC framework, which allows for automatic resolution to full atomistics around regions of interest such as nanovoids and moving lattice defects. By comparison to molecular dynamics (MD), we show that these additions allow for a successful and computationally efficient coarse graining of atomistic ensembles while maintaining the same atomistic accuracy.

We further extend the fully nonlocal QC formulation to finite temperature (termed hotQC) using the principle of maximum entropy in statistical mechanics and averaging the thermal motion of atoms to obtain a temperature-dependent free energy using numerical quadrature. This hotQC formulation implements recently developed optimal summation rules and successfully captures temperature-dependent elastic constants and thermal expansion. We report for the first time the influence of temperature on force artifacts and conclude that our novel finite-temperature adaptive nonlocal QC shows minimal force artifacts and outperforms existing formulations. We also highlight the influence of quadrature in phase space on simulation outcomes.

We study 3D grain boundaries in the nonlocal hotQC framework (previously limited to single-crystals) by modeling coarse-grained symmetric-tilt grain boundaries in coincidence site lattice (CSL) based bicrystals. We predict relaxed energy states of various Σ-boundaries with reasonable accuracy by comparing grain boundary energies to MD simulations and outline a framework to model polycrystalline materials that surpasses both spatial and temporal limitations of traditional MD.

Item Type:Thesis (Dissertation (Ph.D.))
Subject Keywords:Quasicontinuum Method; Molecular Mechanics; Multiscale Modeling
Degree Grantor:California Institute of Technology
Division:Engineering and Applied Science
Major Option:Mechanical Engineering
Thesis Availability:Public (worldwide access)
Research Advisor(s):
  • Kochmann, Dennis M.
Thesis Committee:
  • Ravichandran, Guruswami (chair)
  • Bhattacharya, Kaushik
  • Daraio, Chiara
Defense Date:14 December 2017
Non-Caltech Author Email:ishan.tembhekar (AT) gmail.com
Funders:
Funding AgencyGrant Number
NSFCMMI-123436
ONRN00014-16-1-2431
Record Number:CaltechTHESIS:04222018-122438253
Persistent URL:http://resolver.caltech.edu/CaltechTHESIS:04222018-122438253
DOI:10.7907/RF27-NA04
Related URLs:
URLURL TypeDescription
https://doi.org/10.1080/14786430701455321DOIArticle adapted for Chapter 3.
ORCID:
AuthorORCID
Tembhekar, Ishan0000-0001-5123-1958
Default Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:10826
Collection:CaltechTHESIS
Deposited By: Ishan Tembhekar
Deposited On:08 May 2018 18:45
Last Modified:25 May 2018 19:57

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