
doi: 10.1002/nme.2756
AbstractIn this work, meshless methods based on the local Petrov–Galerkin approach are proposed for the solution of dynamic problems considering elastic and elastoplastic materials. Formulations adopting the Heaviside step function and the Gaussian weight function as the test functions in the local weak form are considered. The moving least‐square method is used for the approximation of physical quantities in the local integral equations. After spatial discretization is carried out, a non‐linear system of ordinary differential equations of second order is obtained. This system is solved by Newmark/Newton–Raphson techniques. At the end of the paper numerical results are presented, illustrating the potentialities of the proposed methodologies. Copyright © 2009 John Wiley & Sons, Ltd.
Newmark/Newton-Raphson method, meshless local Petrov-Galerkin, moving least-squares interpolation, Numerical approximation of solutions of dynamical problems in solid mechanics, dynamics, Other numerical methods in solid mechanics, elastoplastic analysis
Newmark/Newton-Raphson method, meshless local Petrov-Galerkin, moving least-squares interpolation, Numerical approximation of solutions of dynamical problems in solid mechanics, dynamics, Other numerical methods in solid mechanics, elastoplastic analysis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 13 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
