Foundation settlement statistics via finite element analysis
By A. Nour, A. Slimani, N. Laouami. 2002
80 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/b3af6d49c9601a4b8e0f67d5738ea181ca265812
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
- Jinsong Huang
- Gordon A. Fenton
- D. V. Griffiths
- R. Suchomel
- D. Mašín
- Nicholas Sitar
- Li-min Zhang
- Dianqing Li
In Safety, Risk, Reliability and Quality
- Jinsong Huang
- Gordon A. Fenton
- D. V. Griffiths
- R. Suchomel
- D. Mašín
- Nicholas Sitar
- Li-min Zhang
- Dianqing Li
Citations in the corpus
- SYSTEM RELIABILITY OF SLOPES BY RFEM (2010, methodology): “…guarantee that the random variable is always positive, and have been advocated and used by several other investigators in addition to the current authors, as a reasonable model for soil properties (e.g., Parkin et al., 1988; Parkin and Robinson, 1992; Nour et al., 2002; Massih et al., 2008).”
- Probabilistic analyses of a strip footing on horizontally stratified sandy deposit using advanced constitutive model (2011, background): “In many publications, the authors address the influence of the correlation length [35, 14, 19, 12].”
- The importance of distribution types on finite element analyses of foundation settlement (2009, background): “Constant Poisson’s ratio is usually considered due to difficulties with its characterization and because it has a secondary influence on settlement computations [15,51], although its variability has been also addressed using the beta distribution [50].”
- Comparison of different probabilistic methods for predicting stability of a slope in spatially variable c–φ soil (2010, background): “As demonstrated by many authors [31,21,22,19,26,20,18,27,29], the spatial variability (and consequent concentration of less competent materials into distinct zones), may lead to a significant increase of the probability of unsatisfactory performance.”