dc.contributor.author | O'Kelly, Brendan C. | |
dc.contributor.author | Nogal, Maria | |
dc.date.accessioned | 2020-05-25T13:18:32Z | |
dc.date.available | 2020-05-25T13:18:32Z | |
dc.date.issued | 2020 | |
dc.date.submitted | 2020 | en |
dc.identifier.citation | O'Kelly, B.C. & Nogal, M., Determination of soil permeability coefficient following an updated grading entropy method, Geotechnical Research, 7, 1, 2020, 58 - 70 | en |
dc.identifier.other | Y | |
dc.description | PUBLISHED | en |
dc.description.abstract | This paper presents a critical review of the grading entropy approach of permeability-coefficient predictions (k P) for coarse-grained soils. The approach applies the grading entropy theory to particle-size distributions (PSDs), such that the entirety of each gradation curve can be interpreted as a single point on a grading entropy chart, plotting its normalised entropy increment (B) against relative base grading entropy (A) values. Published data sets of measured permeability-coefficient (k M) values for saturated compacted silty sand, sand and gravel materials are examined to understand the dependence of A and B on various gradation parameters and the void ratio (e). In particular, log k M negatively correlates with log B and positively correlates with log A and e (log e). As such, power functions of the form
kP=C1AC2BC3eC4
prove statistically superior, noting that the fitting coefficient C 1 to C 4 values are specific to the PSD range and densification (compaction) states investigated for the permeability tests. Recommendations are given for increasing the predictive power, including separate models for well-graded and poorly graded materials and the addition of a particle shape factor and specific surface parameters in the regression correlation. | en |
dc.format.extent | 58 | en |
dc.format.extent | 70 | en |
dc.language.iso | en | en |
dc.relation.ispartofseries | Geotechnical Research; | |
dc.relation.ispartofseries | 7; | |
dc.relation.ispartofseries | 1; | |
dc.rights | Y | en |
dc.subject | Design methods & aids | en |
dc.subject | Granular materials | en |
dc.subject | Statistical analysis | en |
dc.title | Determination of soil permeability coefficient following an updated grading entropy method | en |
dc.type | Journal Article | en |
dc.type.supercollection | scholarly_publications | en |
dc.type.supercollection | refereed_publications | en |
dc.identifier.peoplefinderurl | http://people.tcd.ie/bokelly | |
dc.identifier.peoplefinderurl | http://people.tcd.ie/nogalm | |
dc.identifier.rssinternalid | 209438 | |
dc.identifier.doi | https://doi.org/10.1680/jgere.19.00036 | |
dc.rights.ecaccessrights | openAccess | |
dc.subject.TCDTheme | Smart & Sustainable Planet | en |
dc.subject.TCDTag | Environmental Geotechnics | en |
dc.subject.TCDTag | GEOTECHNICAL ENGINEERING | en |
dc.subject.TCDTag | Geotechnics | en |
dc.subject.TCDTag | PERMEABILITY | en |
dc.subject.TCDTag | PERMEABILITY CHARACTERISTICS | en |
dc.subject.TCDTag | PERMEABILITY CO-EFFICIENT | en |
dc.subject.TCDTag | PERMEABILITY MATHEMATICAL MODEL | en |
dc.subject.TCDTag | SAND | en |
dc.subject.TCDTag | Soil Mechanics | en |
dc.subject.TCDTag | Soil Mechanics & Foundations | en |
dc.subject.TCDTag | geotechnical | en |
dc.identifier.orcid_id | 0000-0002-1343-4428 | |
dc.status.accessible | N | en |
dc.identifier.uri | https://www.icevirtuallibrary.com/doi/10.1680/jgere.19.00036 | |
dc.identifier.uri | http://hdl.handle.net/2262/92672 | |