Interval sensitivity theory and its application to frequency response envelope analysis of uncertain structures
By David Moens, Dirk Vandepitte. 2007
94 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/6e1f7cc4005dfe1c4b332a286010ce6e0191c4c1
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
- Bingjie Ni
- Zhiping P. Qiu
- Xiaojun Wang
- Zhiliang Huang
- Jiang Chao
- Lei Wang
- Wei-Xin Ren
- Michael D. Todd
In Statistics and Probability
- Bingjie Ni
- Xiaojun Wang
- Zhiliang Huang
- Jiang Chao
- Lei Wang
- Zhiping P. Qiu
- Wei-Xin Ren
- Michael D. Todd
Citations in the corpus
- Discussions on non-probabilistic convex modelling for uncertain problems (2017, methodology): “To provide a measure for the individual influence of interval inputs on the range of the obtained interval outcome of structural systems, the interval sensitivity analysis was studied and applied to the envelope frequency response function analysis of uncertain mechanical structures [14].”
- Arbitrary polynomial chaos expansion method for uncertainty quantification and global sensitivity analysis in structural dynamics (2020, methodology): “this research direction, and a broad spectrum of UQ methods have been developed such as 58 stochastic finite element method [6, 7], perturbation method [8, 9], interval analysis [10-13], 59 surrogate modeling techniques [14-21], and Monte Carlo simulation (MCS) [1, 22].”
- A feasible implementation procedure for interval analysis method from measurement data (2014, background): “In recent ten years, more and more researchers devote to improve the non-probabilistic analysis methods and apply them to engineering problems [7–14].”