A simple checkerboard suppression algorithm for evolutionary structural optimization
By Qing Li, Grant P. Steven, Yi Min Xie. 2001
158 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/2b5c5821acc758a89372d24e8a638e8355e35c9c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Liang Xia
- Qiuling Xia
- Ramana V. Grandhi
- Joshua D. Deaton
- Xiaodong Huang
- Yi Min Xie
- Kazem Ghabraie
- Ole Sigmund
In Mechanics of Materials
- Qiuling Xia
- Ramana V. Grandhi
- Joshua D. Deaton
- Liang Xia
- Xiaodong Huang
- Yi Min Xie
- Kazem Ghabraie
- G. Rozvany
Citations in the corpus
- Convergent and mesh-independent solutions for the bi-directional evolutionary structural optimization method (2007, background): “In a continuum structure which is discretized using low-order bilinear (2D) or trilinear (3D) finite elements, the above sensitivity numbers could become C0 discontinuous across element boundaries and result in checkerboard patterns in topology by definition [20,21].”
- A survey of structural and multidisciplinary continuum topology optimization: post 2000 (2014, methodology): “…number of element i, ui is the displacement vector and Ki is the stiffness matrix for element i. αei = 1 2 uTi Kiui (4) Since ESO is susceptible to checkerboarding similar to density-based methods, Li et al. (2001a) introduced a simple algorithm to alleviate these numerical difficulties.”
- Bi-directional evolutionary topology optimization of continuum structures with one or multiple materials (2009, methodology): “Therefore these “void” elements can be totally removed from the design domain except that the removal causesthesingularityofglobalstiffnessmatrixoranychange of boundary conditions [ 22 ,23].”
- Bi-directional Evolutionary Structural Optimization on Advanced Structures and Materials: A Comprehensive Review (2016, background): “[77] solved the checkerboard problem by averaging the sensitivity number of an element with the neighboring elements; Yang et al.”