Hybrid probabilistic interval analysis of bar structures with uncertainty using a mixed perturbation Monte-Carlo method

By Wei Gao, Di Wu, Chongmin Song, Francis Tin-Loi, Xiaojing Li. 2011

150 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/28957fb5885cb35420e5ced4de796250610a8869

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. Lei Wang
5. Xiaojun Wang
6. Yongjun Xia
7. Chao Jiang
8. Wei Gao

In Statistics and Probability

1. Zhiliang Huang
2. Jiang Chao
3. Bingjie Ni
4. Lei Wang
5. Xiaojun Wang
6. Yongjun Xia
7. Chao Jiang
8. Wei Gao

Citations in the corpus

• Hybrid reliability analysis of structures with multi-source uncertainties (2013, methodology): “These include the function approximation technique [28], the iterative rescaling method [29], the probability bounds approach [30], the mixed perturbation Monte Carlo method [31], and the complex nesting optimization algorithm [32], among others [6,33–37].”
• Discussions on non-probabilistic convex modelling for uncertain problems (2017, methodology): “Also, the convex model approach presently has been applied in various areas in structural mechanics, such as finite element analysis [26, 27], non-probabilistic reliability analysis [5, 18, 28-31], uncertain optimization [32-37], hybrid reliability analysis [38-41], etc.”