Blar i NTNU Open på forfatter "Depina, Ivan"
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Advanced Probabilistic Slope Stability Analysis on Rissa Slope
Wolebo, Amanuel Petros (Master thesis, 2016)Probabilistic analysis is powerful in investigating the influence of uncertainties on a given geotechnical problem. The way to conduct an uncertainty quantification in geotechnical engineering is shown in a particular case ... -
Application of conditional random fields for the reliability assessment of slope stability
Depina, Ivan; Wolebo, Amanuel Petros (Chapter, 2017)This study employs conditional random fields to integrate different sources of information on soil properties in the reliability assessment of slope stability in Rissa, Norway. The reliability assessment is conducted to ... -
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 ... -
Applications of physics-informed neural networks for uncertainty quantification and parameter estimation in poroelastic problems
Haga, Jakob Muan (Master thesis, 2023)Denne masteroppgaven utforsker anvendeligheten til Fysikk informerte Neurale Nettverk (PINNs) for å kvantifisere usikkerhet og parameterestimere i typiske problemstillinger knyttet til poroelastisitet. Hovedfokuset til ... -
Assessing Stability of Coastal Bluffs Due to Combined Actions of Waves and Changing Ambient Temperatures in the Arctic
Schneider, Agnes Katharina (Master thesis, 2017)The Arctic coastal zone is characterized by high erosion rates, which are on average 0,5 m/year but can reach up locally to 25 m/year and therefore endanger coastal infrastructure. Additionally, the global warming takes ... -
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 ... -
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 (Chapter, 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 ... -
Experimental and Numerical Investigations of Infiltration into Unsaturated Soil - Large-scale soil column experiment
Robinson, Kate (Master thesis, 2019) -
Humanitarian Design: Join Efforts in the Face of Uncertainty
Sandvik, Kristin Bergtora; Depina, Ivan; Herrera, Ivonne; Serwajja, Eria; Pereira, Cláudia (Research report, 2023)Humanitarian design is a term that can be used to describe the process of designing products, services or systems for populations affected by natural and/or man-made disasters. At the intersection between humanitarian ... -
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 ... -
Klassifisering av jordarter i Norge ved hjelp av maskinlæring basert på CPTu-data.
Panday, Bhuwan; Amundsen, Håvard (Bachelor thesis, 2024)Denne bacheloroppgaven utforsker om maskinlæringsalgoritmer kan forbedre klassifiseringen av jordarter i Norge, ved bruk av CPTu-data. Studien, på oppdrag fra Statens vegvesen, tester tre maskinlæringsmodeller: Random ... -
Mitigation of Uncertainties in Rainfall-Induced Landslide Prediction Models in a Changing Climate - Kvam Case Study
Østgren, Liv Malin Ellen Mo (Master thesis, 2017)One of the main challenges in providing consistent and accurate predictions of rainfall-induced landslides is the large uncertainty involved in the assessment. This thesis demonstrates the potential of an alternative ... -
Modellering av snøprofil med modellen SNOWPACK
Schmeding, Frederik (Master thesis, 2023)Formålet med denne masteroppgaven er å undersøke om modellen SNOWPACK er egnet som hjelpemiddel og verktøy innen snøskredvarsling i Norge. SNOWPACK er en endimensjonal fysikkbasert modell som ved hjelp av meteorologisk ... -
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 ... -
Optimization of Ground Investigations
Opseth, Knut-Egil (Master thesis, 2023)Grunnundersøkelser er fundamentale for å oppnå en god forståelse av løsmassenes egensk- aper i en geoteknisk analyse. Ved å se på grunnundersøkelser vil en kunne få den nødvendige informasjonen en trenger for å velge riktig ... -
Quantification of climate change impact on rainfall-induced shallow landslide susceptibility: a case study in central Norway
Oguz, Emir Ahmet; Benestad, Rasmus; Parding, Kajsa; Depina, Ivan; Thakur, Vikas Kumar Singh (Journal article; Peer reviewed, 2024)Climate change impact on rainfall-induced landslide susceptibility of a certain region is often implied based on expected changes in rainfall patterns and rarely explicitly quantified. This study aims to address this gap ... -
QuickAware: a virtual reality tool for quick clay landslide hazard awareness
Alene, Gebray Habtu; Depina, Ivan; Thakur, Vikas Kumar Singh; Perkis, Andrew Niels; Bruland, Oddbjørn (Journal article; Peer reviewed, 2023)Disaster emergency management is crucial for safeguarding lives and the environment in the face of natural and human-caused calamities, such as quick clay landslides. Disaster emergency management encompasses hazard ... -
Rainfall-Induced Landslides in a Changing Climate
Oguz, Emir Ahmet (Doctoral theses at NTNU;2022:187, Doctoral thesis, 2022)Rainfall-induced landslides pose a great risk to society and cause catastrophic consequences including environmental damages, economic losses, deaths, and injuries all around the world. Such landslides are typically ...