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Lookup NU author(s): Dr Peter Helm, Dr Aleksandra Svalova, Professor Mohamed Rouainia, Professor Stephanie Glendinning
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Summary:This is the dataset presented in the publication: Helm et al. (2024). Emulating long-term weather-driven transportation earthworks deterioration models to support asset management. Transportation Geotechnics 44: 101155. DOI: 10.1016/j.trgeo.2023.101155. This record contains the dataset used to produce the figures in the related publication and consists of: Experimental design data (Latin hypercube sample design); oedometer swelling test data for London Clay; simple shear test data for London Clay; numerical model validation results for local and non-local strain softening behaviour; modelled pore pressure results at slope scale; consolidated undrained triaxial test data for a glacial till embankment fill; numerical model validation results for displacements at slope scale; highways and rail slope geometry data for the M4 motorway and Great Western Main Line railway; laboratory data on the peak shear strength of a number of overconsolidated high plasticity clays; field data on the permeability of London Clay; laboratory data on the residual shear strength of a number of overconsolidated high plasticity clays; geotechnical model and emulator output data relating geometry and material properties to time to failure.
Author(s): Helm P, Svalova A, Morsy A, Rouainia M, Smith A, El-Hamalawi A, Wilkinson D, Postill H, Glendinning S
Publication type: Research Dataset/Database
Publication status: Published
Year: 2024
Size: 6.57MB
Online publication date: 07/03/2024
Acceptance date: 07/03/2024
Publisher: Newcastle University
Place Published: Newcastle upon Tyne
URL: https://doi.org/10.25405/data.ncl.22714831
DOI: 10.25405/data.ncl.22714831
