Risk Assessment in Geotechnical Engineering
By Gordon A. Fenton, D. V. Griffiths. 2008
954 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Ocean Engineering, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/76c52d6c00dd5d0c676ad8647a528e54b87ae895
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
- Kok-Kwang Phoon
- Z. Cao
- Xiao-Song Tang
- N. Luo
- Sina Javankhoshdel
- R. Bathurst
- Jinsong Huang
In Ocean Engineering
In Safety, Risk, Reliability and Quality
- Dianqing Li
- Kok-Kwang Phoon
- Z. Cao
- Xiao-Song Tang
- N. Luo
- Sina Javankhoshdel
- R. Bathurst
- Jinsong Huang
Citations in the corpus
- Bayesian identification of random field model using indirect test data (2016, methodology): “1) (e.g., Fenton, 1999; Fenton and Griffiths, 2008; Lloret-Cabot et al., 2014; Kasama and Whittle, 2016).”
- On the estimation of scale of fluctuation in geostatistics (2014, methodology): “The conditioning approach follows the work of van den Eijnden and Hicks (2011), which applied the Kriging interpolation technique (Krige 1951; Cressie 1990; Wackernagel 2003; Fenton and Griffiths 2008) to give the best linear unbiased estimate of a random field between known data.”
- Worst-case spatial correlation length in probabilistic slope stability analysis (2019, background): “Many of these are also summarised in the textbook by Fenton & Griffiths (2008).”
- On the reliability of earth slopes in three dimensions (2009, methodology): “The lognormal distribution is one of many possible choices (e.g. Fenton & Griffiths 2008); however, it offers the advantage of simplicity, in that it is arrived by a simple nonlinear transformation of the classical normal (Gaussian) distribution.”