Review: Non-probabilistic finite element analysis for parametric uncertainty treatment in applied mechanics: Recent advances
By David Moens, Michael Hanss. 2011
270 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/b2b81ade779a9bd6c7ddd690baf119d6d89f5eba
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
- H. H. Khodaparast
- J. Hurtado
- Izuru Takewaki
- Sondipon Adhikari
- J. Ramírez
- Tanmoy Mukhopadhyay
- Kohei Fujita
- Diego A. Alvarez
In Statistics and Probability
- Diego A. Alvarez
- J. Hurtado
- H. H. Khodaparast
- Izuru Takewaki
- Sondipon Adhikari
- J. Ramírez
- Tanmoy Mukhopadhyay
- Kohei Fujita
Citations in the corpus
- An efficient methodology for robustness evaluation by advanced interval analysis using updated second-order Taylor series expansion (2011, methodology): “An overview of the recent state of the art for the interval analysis has been provided by Moens and Hanss [16].”
- Fuzzy uncertainty propagation in composites using Gram–Schmidt polynomial chaos expansion (2016, methodology): “Fuzzy finite element analysis [10-11] aims to combine the power of finite element method and uncertainty modelling capability of fuzzy variables.”
- Fuzzy structural analysis based on fundamental reliability concepts (2012, methodology): “These techniques include for example, fuzzy finite element analysis of linear dynamical systems (see the review papers [38,39]), fuzzy reliability-based optimal design (see e.”