Inverse identification of elastic modulus of dental implant–bone interfacial tissue using neural network and FEA model

DOI10.1080/17415970903063151zbMath1396.74079OpenAlexW1988289899MaRDI QIDQ3647594

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Publication date: 23 November 2009

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415970903063151

zbMATH Keywords

neural networkYoung's modulusfinite element analysisinverse analysisdental implantinterfacial tissue

Mathematics Subject Classification ID

Finite element methods applied to problems in solid mechanics (74S05) Inverse problems in equilibrium solid mechanics (74G75) Biomechanical solid mechanics (74L15)

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Cites Work

• Determination of constitutive properties from spherical indentation data using neural networks. I: The case of pure kinematic hardening in plasticity laws. II: Plasticity with nonlinear isotropic and kinematic hardening
• Computational Inverse Techniques in Nondestructive Evaluation
• Identification of geometric parameters of drawbead in metal forming processes
• An inversion procedure for determination of variable binder force in U-shaped forming
• Total solution for structural mechanics problems.