Probabilistic interval analysis for structures with uncertainty

By Wei Gao, Chongmin Song, Francis Tin-Loi. 2010

180 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/27cd8f36c66f28b44a40dd8b3b28bc05f916d218

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Chao Jiang
2. Di Wu
3. Xu Han
4. Bingjie Ni
5. Chongmin Song
6. Wei Gao
7. C. Fu
8. Francis Tin-Loi

In Control and Systems Engineering

1. Di Wu
2. Wei Gao
3. Chao Jiang
4. Chongmin Song
5. Francis Tin-Loi
6. Xu Han
7. Bingjie Ni
8. Shijun Liao

In Statistics and Probability

1. Bingjie Ni
2. Chao Jiang
3. Xu Han
4. Di Wu
5. Wei Gao
6. Chongmin Song
7. C. Fu
8. Francis Tin-Loi

Citations in the corpus

• Hybrid probabilistic interval analysis of bar structures with uncertainty using a mixed perturbation Monte-Carlo method (2011, methodology): “Using the perturbation theory, we can get the following governing equation for static displacement response of the structure KdþD1KþD2K ð ÞðUdþD1UþD2UÞ 1⁄4 fdþD1f þD2f ð13Þ The random interval structural displacement based on the first-order perturbation can be calculated by [46] U 1⁄4UdþD1U 1⁄4 K 1”
• Interval arithmetic operations for uncertainty analysis with correlated interval variables (2016, background): “cn 1 State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China ous monographs [3–5] and research papers [6–9] involved in interval analysis have been published.”