Damage Matrix Generation via Virtual Target Fragment Analysis
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Solution Overview
Problem
Current methods face challenges in accurately generating a damage matrix for evaluating warhead power due to low or non-uniform fragment density in fragmentation bombs, leading to deteriorated analysis fidelity and difficulty in quickly calculating weapon effects.
Innovation Solution
A device and method that acquire warhead fragment data and target vulnerable area data to generate a damage matrix by creating a virtual target based on fragment approach directions, classifying fragments by polar and azimuthal angles, and applying linear interpolation to calculate damage probabilities for each grid location, improving analysis accuracy and visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional damage matrix generation methods are used with low or non-uniform fragment density, then the calculation process becomes simplified, but the analysis fidelity and accuracy deteriorate
Solution Approach 1:
The ground plane is divided into multiple grids, and fragments are classified by scattering direction (polar and azimuthal angles) into different segments. This segmentation allows for more precise tracking of fragment distribution patterns while maintaining manageable calculation complexity through systematic organization of data.
Solution Approach 2:
The patent transforms fragment density data by changing parameters including polar angle, azimuthal angle, fragment mass, and velocity. By parameterizing the fragment distribution and using linear interpolation methods, the system achieves higher analysis fidelity without proportionally increasing calculation complexity.
2Measurement precision
If detailed fragment data analysis is performed for each grid location, then the damage probability accuracy improves, but the calculation time increases
Solution Approach 1:
The patent performs preliminary classification of fragments by scattering direction and creates a virtual target model before conducting detailed damage probability calculations. This preliminary action organizes the data structure in advance, enabling faster retrieval and processing during the actual damage assessment phase.
Solution Approach 2:
A virtual target is created as a computational copy representing the actual target's vulnerable areas. This virtual copy allows for repeated, rapid calculations of fragment encounters without requiring physical experimentation, significantly reducing calculation time while maintaining accuracy through iterative simulations.
3Measurement precision
If virtual target generation with multiple parameters is implemented, then the encounter information extraction accuracy improves, but the data processing complexity increases
Solution Approach 1:
The virtual target model serves multiple functions simultaneously: it represents the physical target geometry, defines vulnerable areas, enables encounter detection, and facilitates damage probability calculation. This multi-functionality reduces the need for separate processing systems for each function, managing overall data processing complexity.
Solution Approach 2:
The virtual target acts as an intermediary between the fragment trajectory data and the damage assessment system. It mediates the complex interaction by providing a standardized interface for encounter detection and information extraction, simplifying the overall data processing architecture despite the detailed parameters involved.
Data Source
AI summary
A damage matrix generating device proposed. The damage matrix may include a memory and a processor configured to control the memory. The processor may acquire warhead fragment data obtained by classifying mass and number of fragments scattering in given directions as a warhead is detonated, and target vulnerable area data obtained by classifying a vulnerable area according to an encounter relationship between a fragment and a target. The processor may also generate a virtual target based on an approach direction of the fragment to each of the grids, the grids dividing a ground plane. The processor may further generate a damage matrix by extracting encounter information of fragments to meet the virtual target as the fragments scatter in the given directions based on the warhead fragment data and calculating a damage probability for each ground location according to the encounter information based on the target vulnerable area data.