Quadratic maximum-entropy serendipity shape functions for arbitrary planar polygons
By Natarajan Sukumar. 2013
78 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design
View Paper: https://www.semanticscholar.org/paper/1f03b20a8e238dcb32b312b8a45d77d274bccc01
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In Computational Mechanics
- E. Ooi
- Glaucio H. Paulino
- L. Beirão da Veiga
- Xikui Li
- Natarajan Sukumar
- Q. Duan
- Chongmin Song
- Hongwu W. Zhang
In Computer Graphics and Computer-Aided Design
Citations in the corpus
- A scaled boundary polygon formulation for elasto-plastic analyses (2014, methodology): “The shape functions of the polygon elements reported in [1, 2, 3, 4, 11, 12] are rational polynomials and require special integration techniques e.”
- Some basic formulations of the virtual element method (VEM) for finite deformations (2017, background): “, concave ones), harmonic shape functions [15, 16, 17] and max-entropy shape functions [18, 19, 20] need to be computed numerically at the quadrature points element by element.”
- Meshfree Methods: Progress Made after 20 Years (2017, unknown): “On a different path, discrete bonded particle methods have been developed and coupled with FEM for similar applications (Beissel et al. 2006; Johnson 1994; Johnson et al. 1986, 2000, 2002, 2013) [for a review, see (Johnson 2011)].”
- Consistent element‐free Galerkin method (2014, background): “For example, the maximum entropy approximation introduced by Sukumar [17] satisfies a weak Kronecker delta property on boundaries, and thus, the essential boundary conditions can be directly enforced [18, 19].”