Norwegian Geotechnical Institute (NGI) Digital Archive: Nye registreringer
Viser treff 1-20 av 1234
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MoT-PSA: a two-layer depth-averaged model for simulation of powder snow avalanches on three-dimensional terrain
(Peer reviewed; Journal article, 2024) -
Transient subglacial water routing efficiency modulates ice velocities prior to surge termination on Sít’ Kusá, AK
(Peer reviewed; Journal article, 2024) -
Eco-toxicological and climate change effects of sludge thermal treatments: Pathways towards zero pollution and negative emissions
(Peer reviewed; Journal article, 2024) -
Effect of construction method and bench height on particle size segregation during waste rock disposal
(Peer reviewed; Journal article, 2024) -
NAKSIN 4 - dokumentasjon
(NGI-Rapport;20150457-02-R, Research report, 2023-05-15)NGI har på oppdrag av NVE utviklet en metodikk for å beregne Nye AktsomhetsKart for Snøskred I Norge (NAKSIN). Bakgrunnen var at eksisterende aktsomhetskart fra 2010 var for konservative i mange områder da de ikke tar ... -
WP 2 – Full-scale experiments at Ryggfonn Ryggfonn avalanche observations 2021/2022
(NGI-Rapport;20200017-11-TN, Research report, 2024-01-03)NGI is operating the avalanche test site at Ryggfonn in Stryn municipality, Vestland county, western Norway (61.969°N, 7.275°E) since the early 1980s. In addition to the field work and data collection in the framework of ... -
Forprosjekt Ren Frier
(NIVA-rapport, Research report, 2024)Rapporten benytter simuleringer til å utrede bidraget som f.eks. skipstrafikk inkl. oppankringsaktivitet, har på spredning av dioksinforbindelser fra sjøbunnen i Frierfjorden, samt effekten av tiltak i havne- og ... -
Numerical Modeling of an Asteroid Impact on Earth: Matching Field Observations at the Chicxulub Crater Using the Distinct Element Method (DEM)
(Peer reviewed; Journal article, 2023) -
Caprock integrity of the Draupne formation, Ling depression, North Sea, Norway
(Peer reviewed; Journal article, 2021) -
Modelling of shallow landslides with Machine Learning algorithms
(Peer reviewed; Journal article, 2020)This paper introduces three machine learning (ML) algorithms, the 'ensemble' Random Forest (RF), the 'ensemble' Gradient Boosted Regression Tree (GBRT) and the MultiLayer Perceptron neural network (MLP) and applies them ... -
Soft computing approach for prediction of surface settlement induced by earth pressure balance shield tunneling
(Peer reviewed; Journal article, 2020) -
Preliminary results of land subsidence monitoring in the Ca Mau Province
(Peer reviewed; Journal article, 2020) -
Assessing suction bucket jacket foundation installations in the South China Sea: Insights from field installation experiences
(Peer reviewed; Journal article, 2024) -
Thermal Stressing of Volcanic Rock: Microcracking and Crack Closure Monitored Through Acoustic Emission, Ultrasonic Velocity, and Thermal Expansion
(Peer reviewed; Journal article, 2024) -
Potential secondary seals within overburden: Observation from the CO2 storage sites Aurora and Smeaheia, northern North Sea
(Peer reviewed; Journal article, 2024) -
Exposure assessment of plastics, phthalate plasticizers and their transformation products in diverse bio-based fertilizers
(Peer reviewed; Journal article, 2024) -
Stabilization of PFAS-contaminated soil with sewage sludge- and wood-based biochar sorbents
(Peer reviewed; Journal article, 2024) -
Numerical Study of Consolidation of Slurry Tailings Considering Continuous Update of Material Properties
(Peer reviewed; Journal article, 2024) -
Considerations for using critical state soil mechanics based constitutive models for capturing static liquefaction failure of tailings dams
(Peer reviewed; Journal article, 2024) -
Evaluation structures for machine learning models in geotechnical engineering
(Peer reviewed; Journal article, 2024)