Identification of the Parameters of the Lee–Tarver Trinomial Ignition Growth Model Based on a Genetic Algorithm

In order to determine the parameters of the Lee–Tarver trinomial ignition growth model of explosives, a method for determining the parameters of the Lee–Tarver trinomial ignition growth model using genetic algorithm and the relationship of reaction rate is proposed. This method first extracts the characteristic points of the test pressure, and then uses the self-programmed genetic algorithm program to analyze and process the physical information of the flow field and calibrate the parameters of the Lee–Tarver trinomial ignition growth model. The results show that the pressure curve calculated by the parameters of the Lee–Tarver trinomial ignition growth model obtained by the genetic algorithm is consistent with that calculated by the standard parameters, and the maximum peak error is 6.3%, indicating the high accuracy and effectiveness of the proposed calibration method.