Real-time prediction of projectile penetration to laminates by training machine learning models with finite element solver as the trainer
Studies on ballistic penetration to laminates is complicated, but important for design effective protection of structures. Experimental means of study is expensive and can often be dangerous. Numerical simulation has been an excellent supplement, but the computation is time-consuming. Main aim of th...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2021-02-01
|
Series: | Defence Technology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2214914720303275 |