The projective-iterative method and neural network estimation for buckling of elastic plates in nonlinear theory

DOI10.1016/j.cnsns.2005.09.001zbMath1111.35090OpenAlexW2017558694MaRDI QIDQ876094

Georgios E. Stavroulakis, Aliki D. Muradova

Publication date: 16 April 2007

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2005.09.001

zbMATH Keywords

neural networksbifurcationiterative schemeelastic platesvariational-projective methodvon Karman theory

Mathematics Subject Classification ID

Related Items (1)

Solutions of the von Kàrmàn equations via the non-variational Galerkin-B-spline approach

Cites Work

• Boundary conditions and mode jumping in the buckling of a rectangular plate
• Les equations de von Kármán
• A justification of a nonlinear model in plate theory
• Nondestructive elastostatic identification of unilateral cracks through BEM and neural networks
• Bifurcations of the von Kármán equations with Robin boundary conditions
• Boundary Conditions and Mode Jumping in the von Kármán Equations
• On von kármán's equations and the buckling of a thin elastic plate, I the clamped plate
• Tracing the buckling of a rectangular plate with the block GMRES method
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: The projective-iterative method and neural network estimation for buckling of elastic plates in nonlinear theory