Norwegian Geotechnical Institute (NGI) Digital Archive
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Toward machine learning based decision support for pre-grouting in hard rock
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The influence of the void shape in the bearing capacity of rock mass with a superficial void
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Eco-toxicological and climate change effects of sludge thermal treatments: Pathways towards zero pollution and negative emissions
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Numerical Study of Consolidation of Slurry Tailings Considering Continuous Update of Material Properties
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Probabilistic analysis of georisk from capping of contaminated sediment in Gunneklev Fjord, Norway
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Sedimentation record of a complete glacial-interglacial cycle: Down-slope deposits, contourites and plumites of the North Sea trough mouth fan
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Machine Learning Methods for Geotechnical Site Characterization and Scour Assessment
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Microstructure development in lacustrine, fine-grained sediments traced by in situ and laboratory testing
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Glacier Surges and Seasonal Speedups Integrated Into a Single, Enthalpy-Based Model Framework
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Deliverable 2.5 Stress drop and crustal strength evaluation
No full textThis report constitutes Deliverable 2.5 of SHARP Storage and it is organised as follows: the first section focuses on estimating earthquake stress drops on the Horda Platform by expanding the event database and applying a data-driven analysis approach while the second section integrates stress data from early deliverables for the Horda Platform, with the final aim of refining inputs for the local and basin-scale Numerical Geomechanical Smeaheia Model.European CommissionpublishedVersio