Advanced time integration algorithms for dislocation dynamics simulations of work hardening
Abstract
Efficient time integration is a necessity for dislocation dynamics simulations of work hardening to achieve experimentally relevant strains. In this work, an efficient time integration scheme using a high order explicit method with time step subcycling and a newly-developed collision detection algorithm are evaluated. First, time integrator performance is examined for an annihilating Frank–Read source, showing the effects of dislocation line collision. The integrator with subcycling is found to significantly out-perform other integration schemes. The performance of the time integration and collision detection algorithms is then tested in a work hardening simulation. The new algorithms show a 100-fold speed-up relative to traditional schemes. As a result, subcycling is shown to improve efficiency significantly while maintaining an accurate solution, and the new collision algorithm allows an arbitrarily large time step size without missing collisions.
- Authors:
-
- Stanford Univ., Stanford, CA (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Stanford Univ., Stanford, CA (United States)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1319494
- Alternate Identifier(s):
- OSTI ID: 1250064
- Report Number(s):
- SAND-2015-10883J
Journal ID: ISSN 0965-0393; 617636
- Grant/Contract Number:
- AC04-94AL85000; SC0010412
- Resource Type:
- Journal Article: Accepted Manuscript
- Journal Name:
- Modelling and Simulation in Materials Science and Engineering
- Additional Journal Information:
- Journal Volume: 24; Journal Issue: 4; Journal ID: ISSN 0965-0393
- Publisher:
- IOP Publishing
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; dislocation dynamics; time integration; subcycling
Citation Formats
Sills, Ryan B., Aghaei, Amin, and Cai, Wei. Advanced time integration algorithms for dislocation dynamics simulations of work hardening. United States: N. p., 2016.
Web. doi:10.1088/0965-0393/24/4/045019.
Sills, Ryan B., Aghaei, Amin, & Cai, Wei. Advanced time integration algorithms for dislocation dynamics simulations of work hardening. United States. https://doi.org/10.1088/0965-0393/24/4/045019
Sills, Ryan B., Aghaei, Amin, and Cai, Wei. 2016.
"Advanced time integration algorithms for dislocation dynamics simulations of work hardening". United States. https://doi.org/10.1088/0965-0393/24/4/045019. https://www.osti.gov/servlets/purl/1319494.
@article{osti_1319494,
title = {Advanced time integration algorithms for dislocation dynamics simulations of work hardening},
author = {Sills, Ryan B. and Aghaei, Amin and Cai, Wei},
abstractNote = {Efficient time integration is a necessity for dislocation dynamics simulations of work hardening to achieve experimentally relevant strains. In this work, an efficient time integration scheme using a high order explicit method with time step subcycling and a newly-developed collision detection algorithm are evaluated. First, time integrator performance is examined for an annihilating Frank–Read source, showing the effects of dislocation line collision. The integrator with subcycling is found to significantly out-perform other integration schemes. The performance of the time integration and collision detection algorithms is then tested in a work hardening simulation. The new algorithms show a 100-fold speed-up relative to traditional schemes. As a result, subcycling is shown to improve efficiency significantly while maintaining an accurate solution, and the new collision algorithm allows an arbitrarily large time step size without missing collisions.},
doi = {10.1088/0965-0393/24/4/045019},
url = {https://www.osti.gov/biblio/1319494},
journal = {Modelling and Simulation in Materials Science and Engineering},
issn = {0965-0393},
number = 4,
volume = 24,
place = {United States},
year = {Mon Apr 25 00:00:00 EDT 2016},
month = {Mon Apr 25 00:00:00 EDT 2016}
}
Web of Science
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Works referencing / citing this record:
A spectral approach for discrete dislocation dynamics simulations of nanoindentation
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