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Comparison of Prediction Models for the Permeability of Granular Materials Using a Database

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Comparison of Prediction Models for the Permeability of Granular Materials Using a Database. / Feng, Shuyin; Vardanega, Paul; Ibraim, Erdin.

Contemporary Issues in Soil Mechanics: Proceedings of the 2nd GeoMEast International Congress and Exhibition on Sustainable Civil Infrastructures, Egypt 2018 – The Official International Congress of the Soil-Structure Interaction Group in Egypt (SSIGE). ed. / Sayed Hemeda; Mounir Bouassida. Springer, Cham, 2019. p. 1-13 (Sustainable Civil Infrastructures).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Feng, S, Vardanega, P & Ibraim, E 2019, Comparison of Prediction Models for the Permeability of Granular Materials Using a Database. in S Hemeda & M Bouassida (eds), Contemporary Issues in Soil Mechanics: Proceedings of the 2nd GeoMEast International Congress and Exhibition on Sustainable Civil Infrastructures, Egypt 2018 – The Official International Congress of the Soil-Structure Interaction Group in Egypt (SSIGE). Sustainable Civil Infrastructures, Springer, Cham, pp. 1-13. https://doi.org/10.1007/978-3-030-01941-9_1

APA

Feng, S., Vardanega, P., & Ibraim, E. (2019). Comparison of Prediction Models for the Permeability of Granular Materials Using a Database. In S. Hemeda, & M. Bouassida (Eds.), Contemporary Issues in Soil Mechanics: Proceedings of the 2nd GeoMEast International Congress and Exhibition on Sustainable Civil Infrastructures, Egypt 2018 – The Official International Congress of the Soil-Structure Interaction Group in Egypt (SSIGE) (pp. 1-13). (Sustainable Civil Infrastructures). Springer, Cham. https://doi.org/10.1007/978-3-030-01941-9_1

Vancouver

Feng S, Vardanega P, Ibraim E. Comparison of Prediction Models for the Permeability of Granular Materials Using a Database. In Hemeda S, Bouassida M, editors, Contemporary Issues in Soil Mechanics: Proceedings of the 2nd GeoMEast International Congress and Exhibition on Sustainable Civil Infrastructures, Egypt 2018 – The Official International Congress of the Soil-Structure Interaction Group in Egypt (SSIGE). Springer, Cham. 2019. p. 1-13. (Sustainable Civil Infrastructures). https://doi.org/10.1007/978-3-030-01941-9_1

Author

Feng, Shuyin ; Vardanega, Paul ; Ibraim, Erdin. / Comparison of Prediction Models for the Permeability of Granular Materials Using a Database. Contemporary Issues in Soil Mechanics: Proceedings of the 2nd GeoMEast International Congress and Exhibition on Sustainable Civil Infrastructures, Egypt 2018 – The Official International Congress of the Soil-Structure Interaction Group in Egypt (SSIGE). editor / Sayed Hemeda ; Mounir Bouassida. Springer, Cham, 2019. pp. 1-13 (Sustainable Civil Infrastructures).

Bibtex

@inproceedings{43eeaa9e62ca4c42b16e315f78c4e7e5,
title = "Comparison of Prediction Models for the Permeability of Granular Materials Using a Database",
abstract = "The hydraulic conductivity characteristics of the materials which comprise pavement structures are linked to in service performance. This paper briefly reviews a series of well-known models to predict hydraulic conductivity. An approach which makes use of the grading entropy coordinates is also studied. The database includes information on the gradation, hydraulic conductivity and porosity characteristics for over 150 gravel mixtures. Comparison of the studied models reveals that the ‘Kozeny-Carman’ model gives the best predictions when considering the entire database. The results of the regression analysis reveal that for granular mixtures comprising greater than 50{\%} sand, the ‘Shepherd’ or ‘Hazen’ approaches may be preferred. However, for mixtures comprising less than with 50{\%} sand, the ‘KozenyCarman’ and ‘grading entropy’ approaches are preferred.",
author = "Shuyin Feng and Paul Vardanega and Erdin Ibraim",
year = "2019",
doi = "10.1007/978-3-030-01941-9_1",
language = "English",
isbn = "9783030019402",
series = "Sustainable Civil Infrastructures",
publisher = "Springer, Cham",
pages = "1--13",
editor = "Hemeda, {Sayed } and Bouassida, {Mounir }",
booktitle = "Contemporary Issues in Soil Mechanics",
address = "Switzerland",

}

RIS - suitable for import to EndNote

TY - GEN

T1 - Comparison of Prediction Models for the Permeability of Granular Materials Using a Database

AU - Feng, Shuyin

AU - Vardanega, Paul

AU - Ibraim, Erdin

PY - 2019

Y1 - 2019

N2 - The hydraulic conductivity characteristics of the materials which comprise pavement structures are linked to in service performance. This paper briefly reviews a series of well-known models to predict hydraulic conductivity. An approach which makes use of the grading entropy coordinates is also studied. The database includes information on the gradation, hydraulic conductivity and porosity characteristics for over 150 gravel mixtures. Comparison of the studied models reveals that the ‘Kozeny-Carman’ model gives the best predictions when considering the entire database. The results of the regression analysis reveal that for granular mixtures comprising greater than 50% sand, the ‘Shepherd’ or ‘Hazen’ approaches may be preferred. However, for mixtures comprising less than with 50% sand, the ‘KozenyCarman’ and ‘grading entropy’ approaches are preferred.

AB - The hydraulic conductivity characteristics of the materials which comprise pavement structures are linked to in service performance. This paper briefly reviews a series of well-known models to predict hydraulic conductivity. An approach which makes use of the grading entropy coordinates is also studied. The database includes information on the gradation, hydraulic conductivity and porosity characteristics for over 150 gravel mixtures. Comparison of the studied models reveals that the ‘Kozeny-Carman’ model gives the best predictions when considering the entire database. The results of the regression analysis reveal that for granular mixtures comprising greater than 50% sand, the ‘Shepherd’ or ‘Hazen’ approaches may be preferred. However, for mixtures comprising less than with 50% sand, the ‘KozenyCarman’ and ‘grading entropy’ approaches are preferred.

U2 - 10.1007/978-3-030-01941-9_1

DO - 10.1007/978-3-030-01941-9_1

M3 - Conference contribution

SN - 9783030019402

T3 - Sustainable Civil Infrastructures

SP - 1

EP - 13

BT - Contemporary Issues in Soil Mechanics

A2 - Hemeda, Sayed

A2 - Bouassida, Mounir

PB - Springer, Cham

ER -