Topology optimization under uncertainty via non-intrusive polynomial chaos expansion

By Vahid Keshavarzzadeh, Felipe Fernández, Daniel A. Tortorelli. 2017

129 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/314e680f3d548c817c0f1c229b8b1cede1ee9633

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. Akihiro Takezawa
2. Zhan Kang
3. Lin Cheng
4. Jikai Liu
5. Albert C. To
6. Xuan Liang
7. Krishnan Suresh
8. Charlie C. L. Wang

In Computational Theory and Mathematics

1. Zhan Kang
2. Akihiro Takezawa
3. Jikai Liu
4. Krishnan Suresh
5. Andrew T. Gaynor
6. Charlie C. L. Wang
7. Lei Li
8. Albert C. To

In Statistics and Probability

1. Akihiro Takezawa
2. Krishnan Suresh
3. Zhan Kang
4. Albert C. To
5. Jikai Liu
6. Chao Jiang
7. Zhen Luo
8. Jinglai Wu

Citations in the corpus

• Topology optimization of continuum structures with stress constraints and uncertainties in loading (2018, unknown): “σ (k) eq (α) = √ uk (α)B T k CkMCkBkuk (α), (16)”
• Current and future trends in topology optimization for additive manufacturing (2018, background): “Recently, Keshavarzzadeh et al. (2017) presented a study on density-based topology optimization under manufacturing uncertainty by integrating the non-intrusive polynomial chaos expansion with design sensitivity analysis.”