The effect of material and thickness variability on the buckling load of shells with random initial imperfections
By V. Papadopoulos, Manolis Papadrakakis. 2005
114 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Mechanics of Materials, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/0844c7ebc0e644ae7d68d141a57034171fe7a9f0
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
- George Stefanou
- Marcin Marek Kaminski
- Manolis Papadrakakis
- Wei Gao
- Sondipon Adhikari
- Di Wu
- Chongmin Song
- Francis Tin-Loi
In Mechanics of Materials
In Statistics and Probability
- George Stefanou
- Marcin Marek Kaminski
- Manolis Papadrakakis
- Wei Gao
- Di Wu
- Sondipon Adhikari
- Iason Papaioannou
- Daniel Straub
Citations in the corpus
- Generalized perturbation-based stochastic finite element method in elastostatics (2007, methodology): “Quite separate problem is correlation or its lack in material and/or geometrical parameters [11] on higher order random response of the structure, which was studied before by the stochastic finite element method using second order cross-correlations only.”
- On the dual iterative stochastic perturbation‐based finite element method in solid mechanics with Gaussian uncertainties (2015, background): “, with local geometrical imperfections (interface defects) having stochastic character [3, 30].”
- The stochastic finite element method: Past, present and future (2009, unknown): “solid, structural and fluid mechanics, acoustics, heat transfer) [1–4,13–15,18,20,22–29,31,32,37,40,42,44–46,48–51,57–69,72,74, 89,91,92,94–96,99,103,104,106–108,111–113,116–124,126–139,148, 154,155,158,160,162,166,173,175,188,196].”
- Assessment of spectral representation and Karhunen–Loève expansion methods for the simulation of Gaussian stochastic fields (2007, methodology): “Spectral representation has also been successfully implemented in the framework of Monte Carlo simulation (MCS) for the solution of realistic problems with the stochastic finite element approach [3,27,28,42].”