Computational procedure for a fast calculation of eigenvectors and eigenvalues of structures with random properties
By G. Szekely, Gerhart I. Schuëller. 2001
70 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/8bee56477fed7cd4cb070aa29d4229ca98dc8fd3
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
- Helmut J. Pradlwarter
- Gerhart I. Schuëller
- Christian Soize
- Wei-Xin Ren
- Michael D. Todd
- H. Wan
- Sj Steven Hulshoff
- M. A. Gutiérrez
In Statistics and Probability
- Helmut J. Pradlwarter
- Gerhart I. Schuëller
- Christian Soize
- Wei-Xin Ren
- Michael D. Todd
- H. Wan
- Sj Steven Hulshoff
- M. A. Gutiérrez
Citations in the corpus
- Uncertainty analysis of complex structural systems (2009, methodology): “Other methods to increase the number of independent samples apply parallel processing [40, 58, 27, 51].”
- Iterative solution of the random eigenvalue problem with application to spectral stochastic finite element systems (2006, methodology): “The research that has been done has mainly focused on perturbation methods [10–12] or on simulation-based methods [11, 13, 14].”
- Arbitrary polynomial chaos expansion method for uncertainty quantification and global sensitivity analysis in structural dynamics (2020, methodology): “For large-scale complex structures, UQ and variance-based GSA can 78 pose severe computational challenges, which will limit the applicability of traditional 79 methods that are computationally expensive, such as MCS.”
- The stochastic finite element method: Past, present and future (2009, unknown): “[68,151,178].”
- A comprehensive overview of a non-parametric probabilistic approach of model uncertainties for predictive models in structural dynamics (2005, methodology): “The parametric probabilistic approach can be used in low-frequency dynamics, in particular for random eigenvalue problems of large random systems [10,11], and also in medium-frequency dynamics [12,13].”