Determining the Factors of Safety of Spatially Variable Slopes Modeled by Random Fields
By Mohammad Tabarroki, F. Ahmad, Roodabeh Banaki, S. Jha, Jianye Ching. 2013
47 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/b8eaecffc5e325c6da517f9f263540d7e2555a62
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
- Dianqing Li
- Li-min Zhang
- Shui-Hua Jiang
- Chuangbing Zhou
- N. Luo
- Sina Javankhoshdel
- R. Bathurst
- Xiao-Song Tang
In Safety, Risk, Reliability and Quality
- Dianqing Li
- Li-min Zhang
- Chuangbing Zhou
- Shui-Hua Jiang
- N. Luo
- Sina Javankhoshdel
- R. Bathurst
- Xiao-Song Tang
Citations in the corpus
- Slope reliability analysis considering spatially variable shear strength parameters using a non-intrusive stochastic finite element method (2014, methodology): “Additionally, the spatial variability of soil properties cannot be considered realistically with the LEM-based methods, unless the shape of the slip surface is non-circular (Tabarroki et al., 2013).”
- Probabilistic analysis of simple slopes with cohesive soil strength using RLEM and RFEM (2017, methodology): “…is that probabilistic LEM methods with constrained circular failure mechanisms superimposed on a random field may generate lower probabilities of failure compared to the same case using the RFEM approach as demonstrated by Griffiths and Fenton (2004) and Tabarroki et al. (2013), amongst others.”