Open AccessA Calculation Method of Fragment Initial Velocity of Blast-fragmentation Warhead Based on Neural Network
Author(s) -
Yi Sun,
Li Jun,
Dawei Liu,
Jirong Xue,
Yan Cheng
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1961/1/012003
Subject(s) - warhead , bursting , fragmentation (computing) , artificial neural network , nonlinear system , fragment (logic) , computer science , mechanics , control theory (sociology) , physics , algorithm , artificial intelligence , neuroscience , biology , operating system , control (management) , quantum mechanics , nuclear physics
This paper analyzes the theoretical calculation method of the initial velocity of the static bursting disc and the factors affecting the initial velocity of the static bursting disc. On this basis, a calculation method and device of the initial velocity of the fragmentation warhead based on the neural network is proposed. The strong nonlinear mapping ability of the BP neural network and the associative memory ability of the external stimulation and input information are used to determine the initial velocity of the fragment of the kill warhead and improve the efficiency. The speed of calculation and the accuracy of the results are given.