Isogeometric analysis for parameterized LSM-based structural topology optimization

By Yingjun Wang, David J. Benson. 2016

154 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computational Mechanics, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/f17c680084de59afb954f120cab53ccb2cf7d98d

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

1. Yingjun Wang
2. Shuting Wang
3. Xianda Xie
4. Manman Xu
5. Hang Xu
6. Damiano Pasini
7. David J. Benson
8. A. Vigliotti

In Computational Mechanics

1. Yingjun Wang
2. Shuting Wang
3. Xianda Xie
4. Manman Xu
5. Hang Xu
6. Damiano Pasini
7. David J. Benson
8. Thomas J. R. Hughes

In Mechanics of Materials

1. Yingjun Wang
2. Shuting Wang
3. Xianda Xie
4. Manman Xu
5. Hang Xu
6. Damiano Pasini
7. David J. Benson

Citations in the corpus

• A new isogeometric topology optimization using moving morphable components based on R-functions and collocation schemes (2018, methodology): “The second one is the disconnection between analysis models and geometric models [29].”
• Geometrically constrained isogeometric parameterized level-set based topology optimization via trimmed elements (2016, methodology): “Nagy and Benson [43] proposed an algorithm to construct efficient quadrature rules for trimmed elements of arbitrary shape and topology, which has been successfully used in multi-trimmed boundary elements [44].”
• Multiscale isogeometric topology optimization for lattice materials (2017, methodology): “According to [49], for a design domain with e1 × e2 elements, the DOFs of IGA and FEM using quadratic elements are NIGA = 2(e1 + 2)(e2 + 2), (32)”