Modeling Multibody Systems with Uncertainties. Part I: Theoretical and Computational Aspects
By Adrian Sandu, Corina Sandu, Mehdi Ahmadian. 2006
187 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Environmental Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/81c0c7da71acded0892f60d44a6ffd8c69adf81c
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
- Zhen Luo
- Nong Zhang
- Brandon A. Jones
- George H. Born
- Jinglai Wu
- Alireza Doostan
- Liping Chen
- Yunqing Zhang
In Environmental Engineering
- Alireza Doostan
- Zhen Luo
- Brandon A. Jones
- Jinglai Wu
- George H. Born
- Nong Zhang
- Yunqing Zhang
- Anthony Nouy
In Statistics and Probability
- Jinglai Wu
- Zhen Luo
- Nong Zhang
- Yunqing Zhang
- Alireza Doostan
- Brandon A. Jones
- George H. Born
- Liping Chen
Citations in the corpus
- Interval uncertain method for multibody mechanical systems using Chebyshev inclusion functions (2013, methodology): “So far PC may be the only method that is practically applicable to solve uncertain multibody dynamics governed by DAEs [31, 32].”
- Modelling of suspension components in a rail vehicle dynamics context (2011, methodology): “To this end, the use of Monte Carlo methods 3 , FORM/SORM methods and the generalised polynomial chaos theory 132 133 has been proposed, but a well-established procedure is not available yet, and more research work and alternative approaches to treat the problem are likely to appear in the near”
- Nonlinear Propagation of Orbit Uncertainty Using Non-Intrusive Polynomial Chaos (2013, methodology): “Although not yet applied in astrodynamics, previous research using PC includes uncertainty quantification in engineering fields such as: fluid dynamics [11–18], solid mechanics [19–22], multibody dynamics [23,24], high-order state estimation [25,26], and many other applications.”