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USING ARTIFICIAL NEURAL NETWORKS TO REFINE AND ANALYZE THE RESULTS OF ATOMIC FORCE MICROSCOPY OF DISPERSED FILLED ELASTOMERS (CONTACT AND SEMI-CONTACT MODES) >
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ISSN 2224-9893 (Print) ISSN 2226-1869 (Online) |
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ANSYS
acoustic emission
composite
cyclic loading
damage accumulation
deformation
elasticity
experiment
experimental mechanics
finite element method
fracture
mathematical model
mathematical modeling
numerical modeling
numerical simulation
plasticity
residual stresses
stability
strength
stress-strain state
tension
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User
Keywords
ANSYS
acoustic emission
composite
cyclic loading
damage accumulation
deformation
elasticity
experiment
experimental mechanics
finite element method
fracture
mathematical model
mathematical modeling
numerical modeling
numerical simulation
plasticity
residual stresses
stability
strength
stress-strain state
tension
Information
Snow Rider 3D
by Henry Davis (23.10.2025)
Email ReplyThis is fascinating research! The ability to use neural networks to speed up the analysis of AFM data on nanocomposites, especially in the near-surface layer, is a game changer. It reminds me a bit of how... Read more