Multiscale reactive model for 1,3,5-triamino-2,4,6-trinitrobenzene inferred by reactive MD simulations and unsupervised learning
ORAL
Abstract
When high-energy-density materials are subjected to thermal or mechanical aggression at extreme conditions (shock loading), a coupling between the thermo-mechanical and chemical behavior is systematically involved. We develop a reactive model for 1,3,5-triamino-2,4,6-trinitrobenzene (TATB) at the mesoscopic scale where the chemical behavior and thermal transport properties of the system are determined by underlying microscopic reactive simulations.
All-atom reactive MD simulation are conducted and a reduced-order chemical kinetics model for TATB is fitted on isothermal and adiabatic simulations of single crystal chemical decomposition. Isothermal decomposition simulations, along with an unsupervised learning methodology, allow to calibrate a three components analytical formulation for the thermochemistry kinetics of TATB, and adiabatic simulations are conducted to determine the associated heats of reaction.
Finally, this analytical formulation, coupled to a diffusion and temperature evolution terms, is incorporated in a continuum formalism and the model is compared against one-to-one MD simulations of a 1D hotspot. A good agreement is found for both time and spatial evolution of the temperature field.
All-atom reactive MD simulation are conducted and a reduced-order chemical kinetics model for TATB is fitted on isothermal and adiabatic simulations of single crystal chemical decomposition. Isothermal decomposition simulations, along with an unsupervised learning methodology, allow to calibrate a three components analytical formulation for the thermochemistry kinetics of TATB, and adiabatic simulations are conducted to determine the associated heats of reaction.
Finally, this analytical formulation, coupled to a diffusion and temperature evolution terms, is incorporated in a continuum formalism and the model is compared against one-to-one MD simulations of a 1D hotspot. A good agreement is found for both time and spatial evolution of the temperature field.
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Presenters
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Paul Lafourcade
CEA DAM DIF
Authors
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Paul Lafourcade
CEA DAM DIF
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Brenden W Hamilton
Purdue University
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Michael Sakano
Sandia National Laboratories
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Pilsun Yoo
Oak Ridge National Laboratory
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Alejandro H Strachan
Purdue University
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Jean-Bernard Maillet
CEA DAM DIF, CEA Bruyères-le-Châtel