Premium
Reactive Flow Model Parameter Estimation Using Genetic Algorithms
Author(s) -
Baranda Ribeiro Jose,
Mendes Ricardo,
Silva Cristóvão
Publication year - 2010
Publication title -
propellants, explosives, pyrotechnics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.56
H-Index - 65
eISSN - 1521-4087
pISSN - 0721-3115
DOI - 10.1002/prep.200900048
Subject(s) - explosive material , detonation , acceleration , genetic algorithm , flow (mathematics) , shock (circulatory) , algorithm , computer science , estimation theory , data flow model , mathematics , mechanics , physics , chemistry , classical mechanics , machine learning , medicine , organic chemistry
An original real‐coded genetic algorithm methodology that has been developed for the estimation of the parameters of the Tarver reactive flow model of shock initiation and detonation of heterogeneous solid explosives is described in detail. This methodology allows, in a single optimisation procedure and without the need for a starting solution, to search for the 15 parameters of the reaction rate law of the reactive flow model that fit the numerical results to the experimental ones. The developed methodology was applied and tested with an experimental situation, described in detail in the literature, involving the acceleration of a tantalum metal plate by an LX‐17 explosive charge. The obtained parameters allow a very good description of the experimental results and are close to the ones originally used by Tarver and co‐authors in their simulation of the phenomenon.