Doing Topology Optimization Explicitly and Geometrically—A New Moving Morphable Components Based Framework

By Xu Guo, Weisheng Zhang, Wenliang Zhong. 2014

687 citations recorded by the source corpus.

Subfields: Architecture, Civil and Structural Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/4017ce950673027d7732d72392ee1c4d14d6f507

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Architecture

1. Xu Guo
2. Weisheng Zhang

In Civil and Structural Engineering

1. Yingjun Wang
2. Shuting Wang
3. Xianda Xie
4. Manman Xu
5. Lin Cheng
6. Jianhua Zhou
7. Albert C. To
8. Jikai Liu

In Mechanical Engineering

1. Xu Guo
2. Weisheng Zhang
3. Lin Cheng
4. Krishnan Suresh
5. Liang Gao
6. Yingjun Wang
7. Albert C. To
8. Xuan Liang

Citations in the corpus

• Current and future trends in topology optimization for additive manufacturing (2018, methodology): “Then, the optimization problem can be solved similar to other multi-level set topology optimization problems (Wang and Wang 2004; Wang et al. 2015; Liu and Ma 2017; Guo et al. 2014b).”
• Explicit three dimensional topology optimization via Moving Morphable Void (MMV) approach (2017, methodology): “in [21] where topology optimization can be achieved in an explicit and geometrical way.”
• Topology optimization of shell-infill structures using a distance regularized parametric level-set method (2018, methodology): “Another alternative of efficient parametrization of explicit level-set feature is the method of moving morphable components proposed by Guo et al. (2014).”
• A new isogeometric topology optimization using moving morphable components based on R-functions and collocation schemes (2018, methodology): “The MBB beam example is another well-known benchmark example for examining the numerical performance of MMC-based TO approach [20,27,28].”