한국군사과학기술학회지 (Journal of the Korea Institute of Military Science and Technology)
- 제4권2호
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- Pages.189-201
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- 2001
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- 1598-9127(pISSN)
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- 2636-0640(eISSN)
신경회로망을 이용한 다층장갑의 방호성능 예측
A Terminal Ballistic Performance Prediction of Multi-Layer Armor with Neural Network
초록
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.
키워드