A novel evidence-theory-based reliability analysis method for structures with epistemic uncertainty

By Chao Jiang, Zheng Zhang, Jie Liu. 2013

164 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Mechanics of Materials, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/af77afa413372c4bfa23b4ffe1283a946812a836

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. Liang Gao
2. Zhen Luo
3. Zhan Kang
4. Yiqiang Wang

In Mechanics of Materials

1. Liang Gao
2. Zhen Luo
3. Mi Xiao
4. Haihong Xiong
5. Zhan Kang
6. Yiqiang Wang

In Statistics and Probability

1. Liang Gao
2. Zhen Luo
3. Mi Xiao
4. Haihong Xiong

Citations in the corpus

• An efficient method for reliability analysis under epistemic uncertainty based on evidence theory and support vector regression (2015, methodology): “Although some approximation methods have been developed to alleviate the computational burden (Bae, Grandhi, and Canfield 2004a, 2004b; Jiang et al. 2013), the evaluation of extreme values of the approximate limit-state function still needs to be conducted over each of all the focal elements.”