2015
DOI: 10.1016/j.compgeo.2015.06.020
|View full text |Cite
|
Sign up to set email alerts
|

Determining an appropriate finite element size for modelling the strength of undrained random soils

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
28
0

Year Published

2018
2018
2025
2025

Publication Types

Select...
3
2
2

Relationship

0
7

Authors

Journals

citations
Cited by 93 publications
(30 citation statements)
references
References 26 publications
1
28
0
Order By: Relevance
“…Previous works focused on capturing some local features show that for blocks larger than half the correlation length the influence of these local features is lost (J. Huang & Griffiths, 2015). Other works focused on magnitudes at the scale of the model have obtained good results with blocks up to three times the correlation length (as is the case for our most extreme upscaling) (A. J.…”
Section: Resultsmentioning
confidence: 62%
See 3 more Smart Citations
“…Previous works focused on capturing some local features show that for blocks larger than half the correlation length the influence of these local features is lost (J. Huang & Griffiths, 2015). Other works focused on magnitudes at the scale of the model have obtained good results with blocks up to three times the correlation length (as is the case for our most extreme upscaling) (A. J.…”
Section: Resultsmentioning
confidence: 62%
“…The numerical model must be constructed with elements of a size similar to that at which the data were collected, or otherwise some upscaling rule must be used when observation and model scales are different (J. Huang & Griffiths, 2015;. The statistics of dispersivity and partition coefficients for K + and Cl -derived from the analysis of large-scale miscible displacements tests are shown in Table 3.3 and Fig.…”
Section: Double-ring Infiltrometer (Dri)mentioning
confidence: 99%
See 2 more Smart Citations
“…The variation of the K with the sample volume must be 62 taken into account when these observations are later used as input to numerical models. The numerical model must be constructed with elements of a size similar to that at which the data were collected, or otherwise some upscaling rule must be used when observation and model scales are different (J. Huang & Griffiths, 2015;. summarized by the histograms in Fig.…”
mentioning
confidence: 99%