Numerical method for shape optimization using meshfree method
By Nam-Ho Kim, Kyung K. Choi, Mark E. Botkin. 2002
73 citations recorded by the source corpus.
Subfields: Computational Mechanics, Mechanics of Materials, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/cafb3ac9923593a3fb76bfaa71058ce3f1d046b4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- F. Sonmez
- Youngmin Chang
- Nam-Ho Kim
- Kyung K. Choi
- Seonho Cho
- Seung-Hyun Ha
- Yoon Young Kim
- Gang-Won Jang
In Mechanics of Materials
- F. Sonmez
- Youngmin Chang
- Nam-Ho Kim
- Kyung K. Choi
- Seung-Hyun Ha
- Seonho Cho
- Gang-Won Jang
- Yoon Young Kim
In Safety, Risk, Reliability and Quality
- F. Sonmez
- Youngmin Chang
- Yoon Young Kim
- Gang-Won Jang
- Seonho Cho
- Seung-Hyun Ha
- Kyung K. Choi
- Nam-Ho Kim
Citations in the corpus
- Review of options for structural design sensitivity analysis. Part 1: Linear systems (2005, unknown): “Meshfree methods: [39,100,163–167,202,209–213].”
- Numerical method for shape optimization using T-spline based isogeometric method (2010, methodology): “For instance, Chang et al. (1995 )a nd Kim et al. (2003) developed design sensitivity analysis and optimization methods, using the PATRAN geometric modeler, for shape optimization with finite element and meshfree analysis, respectively.”
- Eulerian shape design sensitivity analysis and optimization with a fixed grid (2005, methodology): “When the meshfree method [24] is employed, the optimization problem converges with seventeen iterations and 37 function evaluations.”
- Remesh-free shape optimization using the wavelet-Galerkin method (2004, methodology): “To resolve this, the meshfree method (Kim et al., 2002) or the fixed-grid finite element method (Garcia and Steven, 1998) has been suggested as an alternative analysis tool to the standard finite element method.”
- 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.”