Generalised hardening plasticity approximated via anisotropic elasticity: A neural network approach

DOI10.1016/0045-7825(94)00769-JzbMath0969.74519OpenAlexW1965378993MaRDI QIDQ1578666

Panagiotis D. Panagiotopoulos, Pericles S. Theocaris

Publication date: 4 September 2000

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0045-7825(94)00769-j

zbMATH Keywords

yield surfacesneutral networkunsupervised learning algorithmselliptic paraboloid failure surfaceparameter identification methodsequence of anisotropic elasticity problems

Mathematics Subject Classification ID

Related Items (4)

On the parameter identification problem for failure criteria in anisotropic bodies ⋮ Artificial neural networks in numerical modelling of composites ⋮ Hardening Plasticity Approximated via Anisotropic Elasticity. The Fokker‐Planck Equation in a Neural Network Environment ⋮ Plasticity including the Bauschinger effect, studied by a neural network approach

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• ``Neural computation of decisions in optimization problems
• Analysis of stress-strain relations by use of an anisotropic hardening plastic potential
• Neural networks for computing in fracture mechanics. Methods and prospects of applications
• Neural networks for computing in the elastoplastic analysis of structures
• Transient elastodynamics around cracks including contact and friction
• A general theory of an elastic-plastic continuum
• Incremental plastic analysis in the presence of large displacements and physical instabilizing effects
• A modification of Prager’s hardening rule
• On the increments of plastic deformations and the yield surface
• The elliptic paraboloid failure surface for transversely isotropic materials off-axis loaded
• A Neural Network-Based Optimization Algorithm for the Static Weapon-Target Assignment Problem
• Neural networks for computing in structural analysis: Methods and prospects of applications
• Neural networks and physical systems with emergent collective computational abilities.
• A logical calculus of the ideas immanent in nervous activity

This page was built for publication: Generalised hardening plasticity approximated via anisotropic elasticity: A neural network approach