An improved multidimensional parallelepiped non-probabilistic model for structural uncertainty analysis

By Bingjie Ni, Chao Jiang. 2016

92 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c324f8549c4dcba0805f9510e9aa18a15212c05c

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. Bingjie Ni
2. Zhiliang Huang
3. Jiang Chao
4. Chao Jiang
5. Jinglai Wu
6. Zhen Luo
7. Jing Zheng
8. Zhan Kang

In Statistics and Probability

1. Bingjie Ni
2. Zhiliang Huang
3. Jiang Chao
4. Chao Jiang
5. Zhen Luo
6. Jinglai Wu
7. Jing Zheng
8. Xu Han

Citations in the corpus

• Non-probabilistic reliability-based topology optimization with multidimensional parallelepiped convex model (2017, methodology): “With the marginal interval information and the correlation information, the n-dimensionalMPmodel can be expressed as (Ni et al. 2016): Fig.”
• Discussions on non-probabilistic convex modelling for uncertain problems (2017, methodology): “If correlation exists among the parameters, generally a convex subset of  can be used to describe the uncertainty domain, such as the multidimensional ellipsoid (ME) model [2, 3], the multidimensional parallelepiped (MP) models [22, 23], etc.”