Calibrating a finite-strain phase-field model of fracture for bonded granular materials with uncertainty quantification
Abstract
To study the mechanical behavior of mock high explosives, an experimental and simulation program was developed to calibrate, with quantified uncertainty, a material model of the bonded granular material Idoxuridine and nitroplasticized Estane-5703. This paper reports on the efficacy of such a framework as a generalizable methodology for calibrating material models against experimental data with uncertainty quantification. Additionally, this paper studies the effect of two manufacturing temperatures and three initial granular configurations on the unconfined compressive behavior of the resulting bonded granular materials. In each of these cases, the same calibration framework was used; in that, hundreds of high-fidelity direct numerical simulations using a new, graphics processing unit-enabled, high-performance finite element method software, Ratel, were run to calibrate a finite-strain phase-field fracture model against experimental data. It was found that manufacturing temperature influenced the elastic response of the mock high explosives, with higher temperatures yielding a stiffer response. By contrast, it was found that the initial configuration of the grains had a negligible impact on the overall behavior of the mock high explosives though it remains possible that local damage accumulation within the specimens could be altered by the initial configurations. Overall, the calibration framework was successful at creating well-calibrated models, showing its usefulness as an engineering and scientific tool.
Article Details
Journal Info
Journal of Applied Physics
American Institute of Physics
Authors (11)
Abigail C. Schmid
Department of Civil, Environmental, and Architectural Engineering, University of Colorado Boulder 1 , Boulder, Colorado,
Erik Jensen
Department of Civil, Environmental, and Architectural Engineering, University of Colorado Boulder 1 , Boulder, Colorado,
Fabio Di Gioacchino
Department of Computer Science, University of Colorado Boulder 2 , Boulder, Colorado,
Pooyan B. Javadzadeh
Department of Mechanical Engineering, University of Texas at Dallas 3 , Richardson, Texas,
Nate E. Peterson
Sigma Manufacturing Science Division, Los Alamos National Laboratory 4 , Los Alamos, New Mexico,
C. Gus Becker
Department of Civil, Environmental, and Architectural Engineering, University of Colorado Boulder 1 , Boulder, Colorado,
Hongbing Lu
School of Physics and Information Technology, Shaanxi Normal University 3 , Xi'an 710062,
Fatemeh Pourahmadian
Department of Civil, Environmental, and Architectural Engineering, University of Colorado Boulder 1 , Boulder, Colorado,
Amy J. Clarke
Alireza Doostan
Department of Applied Mathematics, University of Colorado Boulder 5 , Boulder, Colorado,
Richard A. Regueiro
Department of Civil, Environmental, and Architectural Engineering, University of Colorado Boulder 1 , Boulder, Colorado,