TY - JOUR
T1 - Multiscale modeling of solid propellants
T2 - From particle packing to failure
AU - Matouš, K.
AU - Inglis, H. M.
AU - Gu, X.
AU - Rypl, D.
AU - Jackson, T. L.
AU - Geubelle, P. H.
N1 - Funding Information:
The work of K. Matouš, H.M. Inglis, X. Gu, T.L. Jackson and P.H. Geubelle was supported by the Center for Simulation of Advanced Rockets (CSAR) under contract number B341494 by the US Department of Energy as a part of its Advanced Simulation and Computing program (ASC). K. Matouš and P.H. Geubelle also acknowledge support from ATK/Thiokol, with J. Thompson and Dr. I.L. Davis as a program monitors. The work of Dr. Rypl was supported by the Grant Agency of the Czech Republic under contract number GAČR 103/05/2315.
PY - 2007/6
Y1 - 2007/6
N2 - We present a theoretical and computational framework for modeling the multiscale constitutive behavior of highly filled elastomers, such as solid propellants and other energetic materials. Special emphasis is placed on the effect of the particle debonding or dewetting process taking place at the microscale and on the macroscopic constitutive response. The microscale is characterized by a periodic unit cell, which contains a set of hard particles (such as ammonium perchlorate for AP-based propellants) dispersed in an elastomeric binder. The unit cell is created using a packing algorithm that treats the particles as spheres or discs, enabling us to generate packs which match the size distribution and volume fraction of actual propellants. A novel technique is introduced to characterize the pack geometry in a way suitable for meshing, allowing for the creation of high-quality periodic meshes with refinement zones in the regions of interest. The proposed numerical multiscale framework, based on the mathematical theory of homogenization, is capable of predicting the complex, heterogeneous stress and strain fields associated, at the microscale, with the nucleation and propagation of damage along the particle-matrix interface, as well as the macroscopic response and mechanical properties of the damaged continuum. Examples involving simple unit cells are presented to illustrate the multiscale algorithm and demonstrate the complexity of the underlying physical processes.
AB - We present a theoretical and computational framework for modeling the multiscale constitutive behavior of highly filled elastomers, such as solid propellants and other energetic materials. Special emphasis is placed on the effect of the particle debonding or dewetting process taking place at the microscale and on the macroscopic constitutive response. The microscale is characterized by a periodic unit cell, which contains a set of hard particles (such as ammonium perchlorate for AP-based propellants) dispersed in an elastomeric binder. The unit cell is created using a packing algorithm that treats the particles as spheres or discs, enabling us to generate packs which match the size distribution and volume fraction of actual propellants. A novel technique is introduced to characterize the pack geometry in a way suitable for meshing, allowing for the creation of high-quality periodic meshes with refinement zones in the regions of interest. The proposed numerical multiscale framework, based on the mathematical theory of homogenization, is capable of predicting the complex, heterogeneous stress and strain fields associated, at the microscale, with the nucleation and propagation of damage along the particle-matrix interface, as well as the macroscopic response and mechanical properties of the damaged continuum. Examples involving simple unit cells are presented to illustrate the multiscale algorithm and demonstrate the complexity of the underlying physical processes.
KW - A. Particle-reinforced composites
KW - B. Debonding
KW - B. Microstructure
KW - C. Damage mechanics
KW - Mathematical homogenization
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U2 - 10.1016/j.compscitech.2006.06.017
DO - 10.1016/j.compscitech.2006.06.017
M3 - Article
AN - SCOPUS:33847700793
SN - 0266-3538
VL - 67
SP - 1694
EP - 1708
JO - Composites Science and Technology
JF - Composites Science and Technology
IS - 7-8
ER -