Identification of the Parameters of the Lee - Tarver Trinomial Ignition Growth Model Based on a Genetic Algorithm
H.-J. Qu1, L.-Y. Duan1, H. Cui1, P. Song2, R. Guo1
1School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China
2Key Laboratory of Combustion and Explosion Technology, Xi'an Institute of Modern Chemistry, Xi'an, China
Keywords: ignition and growth model, genetic algorithm, numerical simulation, two-dimensional Lagrangian analysis
Abstract
A method based on a genetic algorithm and a reaction rate equation is proposed to determine the parameters of the Lee - Tarver trinomial ignition and growth model for explosives. The method involves extracting characteristic points from the experimental pressure-time curve. The physical flow data is then analyzed and processed using a proprietary program implementing the genetic algorithm, and the Lee - Tarver model parameters are calibrated. The results show that the calculated pressure curve obtained using the model parameters determined by the genetic algorithm is in good agreement with the curve calculated using reference parameters. The maximum error for peak pressure is 6.3%, demonstrating the high accuracy and efficiency of the proposed calibration method.
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