Remesh-free shape optimization using the wavelet-Galerkin method
By Gang-Won Jang, Yoon Young Kim, Kyung K. Choi. 2004
56 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Computational Mechanics, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/189c2dc25b2d20d822d4dbcc870912d39dc2b9a1
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
- H. A. Kim
- F. Sonmez
- Peter D. Dunning
- Glen Mullineux
- Youngmin Chang
- A. Kim
- Nam-Ho Kim
- Joaquim R. Martins
In Computational Mechanics
In Mechanics of Materials
Citations in the corpus
- Eulerian shape design sensitivity analysis and optimization with a fixed grid (2005, methodology): “[25] performed the design optimization of the torque arm model using the multi-scale wavelet approach that can locally improve the resolution of the solution accuracy.”
- Investigation and improvement of sensitivity computation using the area-fraction weighted fixed grid FEM and structural optimization (2011, methodology): “Another technique for improving the stiffness approximation of intersected elements is through fitting shape functions to the boundary and using degenerate elements [2].”
- Introducing the sequential linear programming level-set method for topology optimization (2015, background): “However, it is known that the approximated stiffness used in the area-fraction fixed grid approach leads to reduced accuracy at the boundary (Jang et al. 2004; Wei et al. 2010; Dunning et al. 2011).”
- Shape optimization of 2D structures using simulated annealing (2007, methodology): “Studies on shape optimization [1–87] attest that shape changes may lead to considerable savings in weight and improvements in structural performance.”