A predictor algorithm for fast geometrically-nonlinear dynamic analysis.

DOI10.1016/S0045-7825(03)00270-6zbMath1181.74049MaRDI QIDQ1424417

Ji Won Suk, Yong Hyup Kim, Jong Hoon Kim

Publication date: 14 March 2004

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

zbMATH Keywords

Neural networkNewton-Raphson methodNewmark methodNonlinear dynamic analysisPredictor

Mathematics Subject Classification ID

Rods (beams, columns, shafts, arches, rings, etc.) (74K10) Neural networks for/in biological studies, artificial life and related topics (92B20) Plates (74K20) Finite element methods applied to problems in solid mechanics (74S05) Numerical approximation of solutions of dynamical problems in solid mechanics (74H15)

Related Items (2)

Semi-Implicit Coupling of CS-FEM and FEM for the Interaction Between a Geometrically Nonlinear Solid and an Incompressible Fluid ⋮ Deep learning for model order reduction of multibody systems to minimal coordinates

Cites Work

• Unnamed Item
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• Some computational aspects of the stability analysis of nonlinear structures
• A stiffness matrix extrapolation strategy for nonlinear analysis
• Dynamics of 3-D co-rotational beams
• On making large nonlinear problems small
• Accelerated solution techniques and concrete cracking
• The discrete energy-momentum method. Conserving algorithms for nonlinear elastodynamics
• Conserving algorithms for the dynamics of Hamiltonian systems on Lie groups
• Constraint energy momentum algorithm and its application to nonlinear dynamics of shells
• Convergence of Newton-type methods in incremental return mapping analysis of elasto-plastic problems
• An approach to nonlinear programming
• A global secant relaxation (GSR) method-based predictor-corrector procedure for the iterative solution of finite element systems
• A Time Integration Algorithm for Structural Dynamics With Improved Numerical Dissipation: The Generalized-α Method
• A solid element formulation for large deflection analysis of composite shell structures
• The solution of nonlinear finite element equations
• Recent advances in reduction methods for nonlinear problems
• Finite-Element Methods for Nonlinear Elastodynamics Which Conserve Energy
• A hybrid neurocomputing/numerical strategy for nonlinear structural analysis
• The use of ADINA for analysis of mines with explosive fills
• Learning representations by back-propagating errors
• A predictor-corrector method for structural nonlinear analysis.

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