A computationally efficient ductile damage model accounting for nucleation and micro-inertia at high triaxialities
- Authors:
-
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Publication Date:
- Research Org.:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE-USDOD Joint Munitions Technology Development Program (JMP)
- OSTI Identifier:
- 1419761
- Alternate Identifier(s):
- OSTI ID: 1440436; OSTI ID: 1548763
- Report Number(s):
- LA-UR-17-30963; LA-UR-17-26276
Journal ID: ISSN 0045-7825
- Grant/Contract Number:
- AC52-06NA25396; 20170033DR
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Computer Methods in Applied Mechanics and Engineering
- Additional Journal Information:
- Journal Volume: 333; Journal Issue: C; Journal ID: ISSN 0045-7825
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; Micro-inertia; High strain rate; J22 plasticity; Computational formulation; Chebyshev collocation; Porosity distribution
Citation Formats
Versino, Daniele, and Bronkhorst, Curt Allan. A computationally efficient ductile damage model accounting for nucleation and micro-inertia at high triaxialities. United States: N. p., 2018.
Web. doi:10.1016/j.cma.2018.01.028.
Versino, Daniele, & Bronkhorst, Curt Allan. A computationally efficient ductile damage model accounting for nucleation and micro-inertia at high triaxialities. United States. https://doi.org/10.1016/j.cma.2018.01.028
Versino, Daniele, and Bronkhorst, Curt Allan. Wed .
"A computationally efficient ductile damage model accounting for nucleation and micro-inertia at high triaxialities". United States. https://doi.org/10.1016/j.cma.2018.01.028. https://www.osti.gov/servlets/purl/1419761.
@article{osti_1419761,
title = {A computationally efficient ductile damage model accounting for nucleation and micro-inertia at high triaxialities},
author = {Versino, Daniele and Bronkhorst, Curt Allan},
abstractNote = {},
doi = {10.1016/j.cma.2018.01.028},
journal = {Computer Methods in Applied Mechanics and Engineering},
number = C,
volume = 333,
place = {United States},
year = {Wed Jan 31 00:00:00 EST 2018},
month = {Wed Jan 31 00:00:00 EST 2018}
}
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Works referencing / citing this record:
Bayesian calibration of strength parameters using hydrocode simulations of symmetric impact shock experiments of Al-5083
journal, November 2018
- Walters, David J.; Biswas, Ayan; Lawrence, Earl C.
- Journal of Applied Physics, Vol. 124, Issue 20