Random Field Modeling of CPT Data
By Gordon A. Fenton. 2000
221 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Management, Monitoring, Policy and Law, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/2b3321e5de28fc83ff2ebeb3d29083412fb873d7
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In Civil and Structural Engineering
In Management, Monitoring, Policy and Law
In Safety, Risk, Reliability and Quality
Citations in the corpus
- Uncertainty reduction and sampling efficiency in slope designs using 3D conditional random fields (2016, methodology): “For example, Fenton [3] used a database of CPT profiles from Oslo to estimate the correlation statistics in the vertical direction, and Jaksa et al. [5] used a database from Adelaide to estimate the correlation distances in both the vertical and horizontal directions.”
- Random field characterisation of stress-normalised cone penetration testing parameters (2005, methodology): “In this study, it was found that the following four ACMs were sufficient to fit sample ACFs derived from CPT data: (a) single exponential (SNX) (b) cosine exponential (CSX) (c) second-order Markov (SMK) (d) squared exponential (SQX).”
- Characterizing geotechnical anisotropic spatial variations using random field theory (2013, methodology): “, n − M − 1 is given by Fenton (1999b): (25) B(j z) 1 n M j [Zi z(zi)][Zi j z(zi j)]”