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Journal of the Korea Institute of Military Science and Technology 2001;4(2):189-201.
A Terminal Ballistic Performance Prediction of Multi-Layer Armor with Neural Network
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신경회로망을 이용한 다층장갑의 방호성능 예측
유요한, 김태정, 양동열
1국방과학연구소
2한국과학기술원 기계공학과 대학원
3한국과학기술원 기계공학과
Abstract
For a design of multi-layer armor, the extensive full scale or sub-scale penetration test data are required. In generally, the collection of penetration data is in need of time-consuming and expensive processes. However, the application of numerical or analytical method is very limited due to poor understanding about penetration mechanics. In this paper, we have developed a neural network analyzer which can be used as a design tool for a new armor. Calculation results show that the developed neural network analyzer can predict relatively exact penetration depth of a new armor through the effective analysis of the pre-existing penetration database.
Key Words: Multi-Layer Armor, Neural network, Terminal Ballistic performance Prediction, Multi-Layer Perceptron


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