Probabilistic interval reliability of structural systems

By Zhiping P. Qiu, Di Yang, Isaac E. Elishakoff. 2008

167 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d223b4f1d455e8e0db1034d6ebae2c126f64a5b3

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. Chao Jiang
2. Xu Han
3. Francis Tin-Loi
4. Wei Gao
5. Chongmin Song
6. Jie Liu
7. Jing Zheng
8. Zhan Kang

In Statistics and Probability

1. Chao Jiang
2. Wei Gao
3. Xu Han
4. Di Wu
5. Chongmin Song
6. Zhan Kang
7. L. X. Liu
8. Jing Zheng

Citations in the corpus

• Fuzzy structural analysis based on fundamental reliability concepts (2012, unknown): “[23,30]) or”
• Reliability-based structural optimization with probability and convex set hybrid models (2010, background): “Similar problems have also been studied by Hall and Lawry (2004), Berleant et al. (2005), Utkin and Kozine (2005), Kreinovich et al. (2006 )a nd Qiu et al. (2008) .”
• Interval Monte Carlo methods for structural reliability (2010, methodology): “In [12], interval analysis was combined with first-order reliability method (FORM).”
• Hybrid probabilistic interval analysis of bar structures with uncertainty using a mixed perturbation Monte-Carlo method (2011, background): “To the authors’ knowledge, there is a little research has been done for reliability analysis of structural systems with a mixture of random and interval structural parameters [44,45].”
• A Hybrid Reliability Approach Based on Probability and Interval for Uncertain Structures (2012, background): “Recently, it was further extended to the structural reliability analysis [30,31].”
• Structural reliability analysis based on random distributions with interval parameters (2011, methodology): “This hybrid uncertain model was also applied to structural systems, and the failure probability interval caused by the interval parameters was evaluated [31].”
• Reliability-based design optimization for problems with interval distribution parameters (2016, methodology): “(Qiu et al. 2008) introduced an interval approach to conventional reliability theory to obtain the system failure probability interval.”