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Title: GPU-accelerated dislocation dynamics using subcycling time-integration

Abstract

Discrete dislocation dynamics (DDD) simulations are being increasingly employed to investigate metal plasticity at the mesoscale. However, in spite of its ability to access beyond the length and time limits of atomistic methods, the DDD model is still limited by its high computational cost, with ranges of achievable strains too low and strain rates too high by several orders of magnitude compared with typical experimental conditions. By combining the efficiency of the recently developed subcycling time-integrator with the highly parallel architecture of graphics processing unit (GPU) devices, we developed a DDD model that provides significant acceleration compared to existing implementations. Our GPU-accelerated implementation enables large-scale DDD simulations that can reach relevant levels of strain using a moderate amount of computational resources.

Authors:
ORCiD logo [1];  [2];  [2];  [3]
  1. Stanford Univ., CA (United States). Dept. of Mechanical Engineering; Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  3. Stanford Univ., CA (United States). Dept. of Mechanical Engineering
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1566792
Report Number(s):
LLNL-JRNL-764558
Journal ID: ISSN 0965-0393; 954564
Grant/Contract Number:  
AC52-07NA27344; SC0010412
Resource Type:
Accepted Manuscript
Journal Name:
Modelling and Simulation in Materials Science and Engineering
Additional Journal Information:
Journal Volume: 27; Journal Issue: 7; Journal ID: ISSN 0965-0393
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; Dislocations; DDD; GPU

Citation Formats

Bertin, N., Aubry, S., Arsenlis, A., and Cai, W. GPU-accelerated dislocation dynamics using subcycling time-integration. United States: N. p., 2019. Web. doi:10.1088/1361-651X/ab3a03.
Bertin, N., Aubry, S., Arsenlis, A., & Cai, W. GPU-accelerated dislocation dynamics using subcycling time-integration. United States. doi:10.1088/1361-651X/ab3a03.
Bertin, N., Aubry, S., Arsenlis, A., and Cai, W. Wed . "GPU-accelerated dislocation dynamics using subcycling time-integration". United States. doi:10.1088/1361-651X/ab3a03.
@article{osti_1566792,
title = {GPU-accelerated dislocation dynamics using subcycling time-integration},
author = {Bertin, N. and Aubry, S. and Arsenlis, A. and Cai, W.},
abstractNote = {Discrete dislocation dynamics (DDD) simulations are being increasingly employed to investigate metal plasticity at the mesoscale. However, in spite of its ability to access beyond the length and time limits of atomistic methods, the DDD model is still limited by its high computational cost, with ranges of achievable strains too low and strain rates too high by several orders of magnitude compared with typical experimental conditions. By combining the efficiency of the recently developed subcycling time-integrator with the highly parallel architecture of graphics processing unit (GPU) devices, we developed a DDD model that provides significant acceleration compared to existing implementations. Our GPU-accelerated implementation enables large-scale DDD simulations that can reach relevant levels of strain using a moderate amount of computational resources.},
doi = {10.1088/1361-651X/ab3a03},
journal = {Modelling and Simulation in Materials Science and Engineering},
number = 7,
volume = 27,
place = {United States},
year = {2019},
month = {8}
}

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Works referenced in this record:

On plastic deformation and the dynamics of 3D dislocations
journal, February 1998

  • Zbib, Hussein M.; Rhee, Moono; Hirth, John P.
  • International Journal of Mechanical Sciences, Vol. 40, Issue 2-3
  • DOI: 10.1016/S0020-7403(97)00043-X

A parallel algorithm for 3D dislocation dynamics
journal, December 2006

  • Wang, Zhiqiang; Ghoniem, Nasr; Swaminarayan, Sriram
  • Journal of Computational Physics, Vol. 219, Issue 2
  • DOI: 10.1016/j.jcp.2006.04.005

Advanced time integration algorithms for dislocation dynamics simulations of work hardening
journal, April 2016

  • Sills, Ryan B.; Aghaei, Amin; Cai, Wei
  • Modelling and Simulation in Materials Science and Engineering, Vol. 24, Issue 4
  • DOI: 10.1088/0965-0393/24/4/045019

A FFT-based formulation for discrete dislocation dynamics in heterogeneous media
journal, February 2018


A non-singular continuum theory of dislocations
journal, March 2006

  • Cai, W.; Arsenlis, A.; Weinberger, C.
  • Journal of the Mechanics and Physics of Solids, Vol. 54, Issue 3
  • DOI: 10.1016/j.jmps.2005.09.005

O( N ) algorithm for dislocation dynamics
journal, January 1995


Connecting discrete and continuum dislocation mechanics: A non-singular spectral framework
journal, November 2019


Dislocation Networks and the Microstructural Origin of Strain Hardening
journal, August 2018


Mesoscopic scale simulation of dislocation dynamics in fcc metals: Principles and applications
journal, November 1998

  • Verdier, M.; Fivel, M.; Groma, I.
  • Modelling and Simulation in Materials Science and Engineering, Vol. 6, Issue 6
  • DOI: 10.1088/0965-0393/6/6/007

Modelling crystal plasticity by 3D dislocation dynamics and the finite element method: The Discrete-Continuous Model revisited
journal, February 2014


Energy of periodic discrete dislocation networks
journal, December 2018


Homogenization method for a discrete-continuum simulation of dislocation dynamics
journal, September 2001


Efficient time integration in dislocation dynamics
journal, January 2014


Assembly of finite element methods on graphics processors
journal, August 2010

  • Cecka, Cris; Lew, Adrian J.; Darve, E.
  • International Journal for Numerical Methods in Engineering, Vol. 85, Issue 5
  • DOI: 10.1002/nme.2989

A new version fast multipole method for evaluating the stress field of dislocation ensembles
journal, March 2010

  • Zhao, Degang; Huang, Jingfang; Xiang, Yang
  • Modelling and Simulation in Materials Science and Engineering, Vol. 18, Issue 4
  • DOI: 10.1088/0965-0393/18/4/045006

An algorithm for massively parallel dislocation dynamics simulations of small scale plasticity
journal, September 2013

  • Leiter, Kenneth W.; Crone, Joshua C.; Knap, Jaroslaw
  • Journal of Computational Science, Vol. 4, Issue 5
  • DOI: 10.1016/j.jocs.2013.02.002

GPU accelerated dislocation dynamics
journal, September 2014

  • Ferroni, Francesco; Tarleton, Edmund; Fitzgerald, Steven
  • Journal of Computational Physics, Vol. 272
  • DOI: 10.1016/j.jcp.2014.04.052

Enabling strain hardening simulations with dislocation dynamics
journal, July 2007

  • Arsenlis, A.; Cai, W.; Tang, M.
  • Modelling and Simulation in Materials Science and Engineering, Vol. 15, Issue 6
  • DOI: 10.1088/0965-0393/15/6/001

Multipole expansion of dislocation interactions: Application to discrete dislocations
journal, April 2002


A FFT-based formulation for efficient mechanical fields computation in isotropic and anisotropic periodic discrete dislocation dynamics
journal, August 2015

  • Bertin, N.; Upadhyay, M. V.; Pradalier, C.
  • Modelling and Simulation in Materials Science and Engineering, Vol. 23, Issue 6
  • DOI: 10.1088/0965-0393/23/6/065009