Blar i SINTEF Open på forfatter "Depina, Ivan"
-
Application of machine learning to the identification of quick and highly sensitive clays from cone penetration tests
Godoy Leiva, Cristian Andres; Depina, Ivan; Thakur, Vikas Kumar Singh (Peer reviewed; Journal article, 2020)Geotechnical classification is vital for site characterization and geotechnical design. Field tests such as the cone penetration test with pore water pressure measurement (CPTu) are widespread because they represent a ... -
Application of physics-informed neural networks to inverse problems in unsaturated groundwater flow
Depina, Ivan; Jain, Saket; Valsson, Sigurdur Mar; Gotovaca, Hrvoje (Peer reviewed; Journal article, 2021)This paper investigates the application of Physics-Informed Neural Networks (PINNs) to inverse problems in unsaturated groundwater flow. PINNs are applied to the types of unsaturated groundwater flow problems modelled with ... -
Cone penetration data classification by Bayesian inversion with a Hidden Markov model
Krogstad, A.; Depina, Ivan; Omre, Henning (Journal article; Peer reviewed, 2018)This study examines the application of the Hidden Markov model (HMM) to the soil classification based on Cone Penetration Test (CPT) measurements. The HMM is formulated in the Bayesian framework and composed of a Markov ... -
Coupling the cross-entropy with the line sampling method for risk-based design optimization
Depina, Ivan; Papaioannou, Iason; Straub, Daniel; Eiksund, Gudmund Reidar (Journal article; Peer reviewed, 2016)An algorithm for risk-based optimization (RO) of engineering systems is proposed, which couples the Cross-entropy (CE) optimization method with the Line Sampling (LS) reliability method. The CE-LS algorithm relies on the ... -
Development of coastal infrastructure in cold climate. Summary Guideline. SFI SAMCoT report
Sinitsyn, Anatoly; Depina, Ivan; Bekele, Yared Worku; Christensen, Stein Olav; van Oosterhout, Dirk (SINTEF Fag;70, Research report, 2020)Foreword. This report is a Summary Guideline for development of coastal infrastructure in cold climate and is prepared within the SFI Sustainable Arctic Marine and Coastal Technology (SAMCoT). The Summary Guideline follows ... -
Digital varsling kan redusere risikoen for skader etter vannutløste skred
Depina, Ivan (Journal article, 2020)Klimaendringer gir økt risiko for vann utløste skred. SINTEF undersøker nå hvordan skaderisikoen kan reduseres ved hjelp av digitale varslingssystemer. -
Effects of soil heterogeneity on susceptibility of shallow landslides
Oguz, Emir Ahmet; Depina, Ivan; Thakur, Vikas Kumar Singh (Peer reviewed; Journal article, 2021)Uncertainties in parameters of landslide susceptibility models often hinder them from providing accurate spatial and temporal predictions of landslide occurrences. Substantial contribution to the uncertainties in landslide ... -
Experimental and Numerical Investigation of One-Dimensional Infiltration into Unsaturated Soil
Oguz, Emir Ahmet; Robinson, Katherine Emily; Depina, Ivan; Thakur, Vikas Kumar Singh (Lecture Notes in Civil Engineering;1, Chapter; Peer reviewed, 2021)Infiltration characteristics of an unsaturated soil are of interest in both seepage and stability analyses and should be evaluated carefully. In this study, a new large-scale one-dimensional infiltration column test setup ... -
IoT‑based hydrological monitoring of water‑induced landslides: a case study in central Norway
Oguz, Emir Ahmet; Depina, Ivan; Myhre, Bård; Devoli, Graziella; Rustad, Helge; Thakur, Vikas Kumar Singh (Peer reviewed; Journal article, 2022)Water-induced landslides pose a great risk to the society in Norway due to their high frequency and capacity to evolve in destructive debris flows. Hydrological monitoring is a widely employed method to understand the ... -
Kan forutsi jordskred ved å observere skråninger
Depina, Ivan (Journal article, 2018)Bedre modeller for å forutsi nedbørutløste jordskred vil reduse-re skader på men-nesker, eiendom og infrastruktur. -
Klima-resilient infrastruktur
Depina, Ivan; Øien, Knut (Klima 2050 Report;27, Research report, 2021)Denne rapporten oppsummerer arbeidet i prosjektet Climate-RESilient infrastructure (CRES) – "from failsafe to safe-to-fail". Det overordnede målet med prosjektet har vært å utvikle nye og praktiske resiliensindikatorer for ... -
A management tool to reduce the risk of damage caused by geotechnical groundworks
Piciullo, Luca; Bekele, Yared Worku; Depina, Ivan; Nadim, Farrokh; Langford, Jenny (Peer reviewed; Journal article, 2021)A qualitative risk management tool, developed in the R&D project "BegrensSkade" [1], was recently updated in the R&D "REMEDY"-project [2] to include quantitative risk analysis. The tool contributes to the main objective ... -
Novel Bayesian framework for calibration of spatially distributed physical-based landslide prediction models
Depina, Ivan; Oguz, Emir Ahmet; Thakur, Vikas Kumar Singh (Peer reviewed; Journal article, 2020)This study presents a novel Bayesian framework for statistical calibration of spatially distributed physical-based landslide prediction models. The calibration process is formulated in a statistical setting with the model ... -
Reliability analysis with Metamodel Line Sampling
Depina, Ivan; Le, Thi Minh Hue; Fenton, Gordon A.; Eiksund, Gudmund Reidar (Journal article; Peer reviewed, 2016)This paper presents an approach for reliability analysis of engineering structures, referred to as Metamodel Line Sampling (MLS). The approach utilizes a metamodel of the performance function, within the framework of the ... -
Thermal regime of permafrost at Varandey Settlement along the Barents Sea Coast, North West Arctic Russia
Le, Thi Minh Hue; Depina, Ivan; Guegan, Emilie; Sinitsyn, Anatoly (Journal article; Peer reviewed, 2018)