Scale bridging damage model for quasi-brittle metals informed with crack evolution statistics
Abstract
Computationally efficient methods for bridging length scales, from highly resolved micro/meso-scale models that can explicitly model crack growth, to macro-scale continuum models that are more suitable for modeling large parts, have been of interest to researchers for decades. In this work, an improved brittle damage model is presented for the simulation of dynamic fracture in continuum scale quasi-brittle metal components. Crack evolution statistics, including the number, length, and orientation of individual cracks, are extracted from high-fidelity, finite discrete element method (FDEM) simulations and used to generate effective material moduli that reflect the material’s damaged state over time. This strategy allows for the retention of small-scale physical behaviors such as crack growth and coalescence in continuum scale hydrodynamic simulations. However, the high-fidelity simulations required to generate the crack statistics are computationally expensive. Thus, steps were taken to produce a flexible constitutive model to reduce the number of costly high-fidelity simulations needed to produce accurate results. A new stress based degradation criterion is introduced for the degradation of individual material zones. This allows for the development of a heterogeneous damage distribution within the bulk material. Then a flow stress model is added to the hydrodynamic simulation to account for plasticity in quasi-brittlemore »
- Authors:
-
- New Mexico State Univ., Las Cruces, NM (United States); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- New Mexico State Univ., Las Cruces, 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
- OSTI Identifier:
- 1603990
- Alternate Identifier(s):
- OSTI ID: 1776112
- Report Number(s):
- LA-UR-19-24826
Journal ID: ISSN 0022-5096
- Grant/Contract Number:
- 89233218CNA000001; 20170103DR
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of the Mechanics and Physics of Solids
- Additional Journal Information:
- Journal Volume: 138; Journal Issue: C; Journal ID: ISSN 0022-5096
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; brittle fracture; shock loading; effective elastic moduli; crack statistics; finite-discrete element method
Citation Formats
Larkin, Kevin, Rougier, Esteban, Chau, Viet Tuan, Srinivasan, Gowri, Abdelkefi, Abdessattar, and Hunter, Abigail. Scale bridging damage model for quasi-brittle metals informed with crack evolution statistics. United States: N. p., 2020.
Web. doi:10.1016/j.jmps.2020.103921.
Larkin, Kevin, Rougier, Esteban, Chau, Viet Tuan, Srinivasan, Gowri, Abdelkefi, Abdessattar, & Hunter, Abigail. Scale bridging damage model for quasi-brittle metals informed with crack evolution statistics. United States. https://doi.org/10.1016/j.jmps.2020.103921
Larkin, Kevin, Rougier, Esteban, Chau, Viet Tuan, Srinivasan, Gowri, Abdelkefi, Abdessattar, and Hunter, Abigail. Fri .
"Scale bridging damage model for quasi-brittle metals informed with crack evolution statistics". United States. https://doi.org/10.1016/j.jmps.2020.103921. https://www.osti.gov/servlets/purl/1603990.
@article{osti_1603990,
title = {Scale bridging damage model for quasi-brittle metals informed with crack evolution statistics},
author = {Larkin, Kevin and Rougier, Esteban and Chau, Viet Tuan and Srinivasan, Gowri and Abdelkefi, Abdessattar and Hunter, Abigail},
abstractNote = {Computationally efficient methods for bridging length scales, from highly resolved micro/meso-scale models that can explicitly model crack growth, to macro-scale continuum models that are more suitable for modeling large parts, have been of interest to researchers for decades. In this work, an improved brittle damage model is presented for the simulation of dynamic fracture in continuum scale quasi-brittle metal components. Crack evolution statistics, including the number, length, and orientation of individual cracks, are extracted from high-fidelity, finite discrete element method (FDEM) simulations and used to generate effective material moduli that reflect the material’s damaged state over time. This strategy allows for the retention of small-scale physical behaviors such as crack growth and coalescence in continuum scale hydrodynamic simulations. However, the high-fidelity simulations required to generate the crack statistics are computationally expensive. Thus, steps were taken to produce a flexible constitutive model to reduce the number of costly high-fidelity simulations needed to produce accurate results. A new stress based degradation criterion is introduced for the degradation of individual material zones. This allows for the development of a heterogeneous damage distribution within the bulk material. Then a flow stress model is added to the hydrodynamic simulation to account for plasticity in quasi-brittle materials. As a result, the effective moduli model can be applied to a larger range of materials. The effective moduli constitutive model is used to simulate beryllium flyer plate experiments. The results from the continuum scale simulations using statistics from a single high-fidelity simulation are found to be in excellent agreement with numerical and experimental velocity interferometer data. The same set of crack statistics are used to extrapolate the results of a higher rate flyer plate case using the effective moduli model. In conclusion, the extension of this model to higher rate cases shows promise for further reducing the number of costly high-fidelity simulations needed to generate crack statistics.},
doi = {10.1016/j.jmps.2020.103921},
journal = {Journal of the Mechanics and Physics of Solids},
number = C,
volume = 138,
place = {United States},
year = {Fri Feb 28 00:00:00 EST 2020},
month = {Fri Feb 28 00:00:00 EST 2020}
}
Web of Science
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