Assessment of remeshing and remapping strategies for large deformation elastoplastic Finite Element analysis

• Published in: Computers & structures Vol. 114-115; pp. 133 - 146
• Main Authors: Vavourakis, Vasileios, Loukidis, Dimitrios, Charmpis, Dimos C., Papanastasiou, Panos
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.01.2013
• Subjects: ALE; Algorithms; Computer simulation; Deformation; Elastoplasticity; FEM; Finite element method; Inverse Distance Algorithm; Mathematical analysis; Mathematical models; Penetration; Radial basis function; Radial Basis Functions; Spring Analogy Method; ALE; Penetration; Inverse Distance Algorithm; Spring Analogy Method; Radial Basis Functions; FEM
• ISSN: 0045-7949; 1879-2243
• DOI: 10.1016/j.compstruc.2012.09.010

► We assess performance of remeshing and remapping algorithms for ALE/FEM analysis. ► Remeshing techniques redistribute nodes without modifying elements connectivity. ► Large penetrations can be achieved using the Spring Analogy Method. ► Remapping via the Inverse Distance Algorithm is accurate & computationally low-cost. This work investigates the performance of various remeshing and remapping algorithms for the finite element simulation of plane-strain large deformation elastoplastic problems using a decoupled arbitrary Lagrangian–Eulerian approach. The remeshing algorithms, which are herein adjusted to the needs of elastoplastic deformation analyses, are the Elastic Rebound approach, the Spring Analogy Method and the Radial Basis Functions. The remapping algorithms are the Inverse Distance Algorithm and two data interpolation schemes, namely the Radial Basis Point Interpolation Functions and the Radial Basis Functions. The efficiency and robustness of the algorithms are assessed by simulating the penetration of a rigid flat punch.