A new tool based on artificial neural networks for the design of lightweight ceramic-metal armour against high-velocity impact of solids

DOI10.1016/j.ijsolstr.2008.08.009zbMath1168.74396OpenAlexW2081182798MaRDI QIDQ838549

D. Fernández-Fdz, R. Zaera

Publication date: 26 August 2009

Published in: International Journal of Solids and Structures (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijsolstr.2008.08.009

zbMATH Keywords

constitutive equationsmultilayer perceptronceramicsartificial neural networkfinite element simulationlightweight armour

Mathematics Subject Classification ID

Finite element methods applied to problems in solid mechanics (74S05) Thin bodies, structures (74K99) Impact in solid mechanics (74M20)

Uses Software

• ABAQUS

Cites Work

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• Detection of cracks using neural networks and computational mechanics
• Dynamic fragmentation of brittle solids: a multi-scale model
• On finite deformation elasto-plasticity
• An optimization of a multi-layered plate under ballistic impact
• Learning representations by back-propagating errors

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