Natural fragment warhead fragment quality and quantity distribution prediction simulation calculation method

Abstract

The invention relates to a natural fragment warhead fragment quality and quantity distribution prediction simulation calculation method, which comprises the steps of calculating a unit length correction Payman fragmentation parameter Cu, and calculating characteristic constant A and B values by utilizing a linear relationship between Cu and C/M; dividing the warhead into n units according to the longitudinal half-sectional drawing of the warhead and geometrical characteristics; calculating the metal mass Mi and the explosive mass Ci of each unit; calculating the ratio of the explosive mass Cito the metal mass Mi of each unit, substituting the value into the known Cu = A + B * (C/M), and calculating the unit length correction Payman crushing parameter Cui of each unit; calculating the taper angle of each unit according to the size of each unit; correcting the Payman crushing parameters corrected by the unit length of each unit to obtain corrected Cui '; wherein Cui'of each unit is multiplied by the length of each unit to obtain a corrected Payman fragmentation parameter Coi of each unit, calculating fragment mass and quantity distribution of each unit, and adding fragment mass andquantity of all the units in the same mass range to obtain fragment mass and quantity distribution of the whole warhead.

Description

technical field [0001] The invention relates to the field of power simulation of fragment warheads, in particular to a simulation calculation method for predicting the quality and quantity distribution of natural fragment warhead fragments. Background technique [0002] The quality and quantity distribution of fragments is an important issue in designing projectiles with ideal fragment killing effects. However, there are many factors that affect the quality and quantity distribution of fragments, including some random factors, which makes it difficult to conduct theoretical analysis on these factors. In the projectile design process, in order to select the design scheme with the best fragment killing effect, it is necessary to screen among several different schemes, such as different structures, or different projectile materials, or different explosives. In the program screening, the fragmentation quality and quantity distribution data of the actual warhead are obtained thro...

AI Technical Summary

Problems solved by technology

At present, the Mott experimental formula is widely used to predict the mass and quantity distribution of natural fragments, but this formula has the problem that the large and small fragment areas deviate greatly from the experimental value, and for the given conditions, the fragmentation parameters must be determined experimentally, while This is not easy; in order to make up for the lack of Mott's formula, Sternberg proposed to divide the fragments into three regions according to the mass, and gave three differe

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