This paper provides a review of the modelling of geogrid ultimate pullout resistance. Several analytical models were found to disregard the effect of the geogrid stiffness as well as the particle size distribution of the soil. A sensitivity analysis was done on 289 pullout tests to evaluate the significance of these omitted variables as well as other key variables contributing to pullout resistance. It was found that ultimate pullout resistance was the most sensitive to normal stress followed by geogrid length, geogrid stiffness and the friction angle of the soil. By considering geogrid geometry, stiffness and soil grading descriptors, in addition to the standard variables of length, stress and friction angle, regression models of ultimate pullout capacity improved by 15%. In addition, an alternative model to the simplified linear models of FHWA and EBGEO which maintains dimensional consistency while incorporating geogrid stiffness and non-linearity in the model, was proposed. This alternative model performed 32% better than the simplified linear models.
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June 2025
Research Article|
June 25 2024
Modelling the ultimate pullout resistance of geogrids Available to Purchase
D. H. Marx
;
D. H. Marx
1Postdoctoral Fellow, Maseeh Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin, Austin, USA, E-mail: dawie.marx@utexas.edu (corresponding author)
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J. G. Zornberg
J. G. Zornberg
2Professor, Maseeh Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin, Austin, USA, E-mail: zornberg@mail.utexas.edu
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Publisher: Emerald Publishing
Received:
November 15 2023
Accepted:
June 14 2024
Online ISSN: 1751-7613
Print ISSN: 1072-6349
© 2025 Emerald Publishing Limited
2025
Geosynthetics International (2025) 32 (3): 355–372.
Article history
Received:
November 15 2023
Accepted:
June 14 2024
Citation
Marx DH, Zornberg JG (2025), "Modelling the ultimate pullout resistance of geogrids". Geosynthetics International, Vol. 32 No. 3 pp. 355–372, doi: https://doi.org/10.1680/jgein.23.00172
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