A neurocomputing model for the elastoplasticity

DOI10.1016/S0045-7825(99)00091-2zbMath1021.74044OpenAlexW2054437877WikidataQ127310370 ScholiaQ127310370MaRDI QIDQ1968496

Qiao Hu, Hao Xu, Daoheng Sun

Publication date: 10 July 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/s0045-7825(99)00091-2

zbMATH Keywords

neural networksenergy functionminimum potential energy principleelastoplastic trusstwo-type variable variational principle

Mathematics Subject Classification ID

Small-strain, rate-independent theories of plasticity (including rigid-plastic and elasto-plastic materials) (74C05) Finite element methods applied to problems in solid mechanics (74S05) Energy minimization in equilibrium problems in solid mechanics (74G65)

Related Items (3)

NOISE-INDUCED PATTERN FORMATION AND SYNCHRONIZATION IN A SQUARE-LATTICE NEURONAL NETWORK ⋮ On elastoplastic analysis of some plane stress problems with meshless methods and successive approximations method ⋮ ERROR ANALYSIS FOR THE SPARSE GRAPH-BASED SEMI-SUPERVISED CLASSIFICATION ALGORITHM

Cites Work

• Neural networks for computing in fracture mechanics. Methods and prospects of applications
• Neural networks and physical systems with emergent collective computational abilities.

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