Buckling analysis of cylindrical shells with random geometric imperfections
By C. Schenk, Gerhart I. Schuëller. 2003
171 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/d069f1586311b255b15161a62f3d50b298507e13
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
- Gaetan Kerschen
- Jean-Claude Golinval
- Lawrence A. Bergman
- Alexander F. Vakakis
- George Stefanou
- M. Mignolet
- Evangéline Capiez-Lernout
- Christian Soize
In Statistics and Probability
- George Stefanou
- M. Mignolet
- Evangéline Capiez-Lernout
- Christian Soize
- Manolis Papadrakakis
- Jean-Claude Golinval
- Gaetan Kerschen
- Lawrence A. Bergman
Citations in the corpus
- The Method of Proper Orthogonal Decomposition for Dynamical Characterization and Order Reduction of Mechanical Systems: An Overview (2005, background): “The POD now enjoys various applications in structural dynamics such as active control [28], aeroelastic problems [29, 30], damage detection [31–33], dynamic characterization [34–41], finite element model updating [42, 43], modal analysis [44, 45], multibody systems [46], model order reduction [47–52”
- Assessment of spectral representation and Karhunen–Loève expansion methods for the simulation of Gaussian stochastic fields (2007, methodology): “There exist also some cases where the K–L expansion has been implemented in the framework of MCS [25,35].”
- The stochastic finite element method: Past, present and future (2009, background): “To the author’s knowledge, there are very few publications in the literature where use is made of two really independent meshes in conjunction with a general mapping procedure of the random field realization onto the finite element mesh [20,157].”
- Computational stochastic statics of an uncertain curved structure with geometrical nonlinearity in three-dimensional elasticity (2012, methodology): “The parametric probabilistic approach is particularly adapted to take into account system-parameter uncertainties as shown in [14,15] i n the context of post-buckling of cylindrical shells.”