Browsing Fakultet for ingeniørvitenskap (IV) by Title
Now showing items 17226-17245 of 23487
-
Prediction of Reactive Multiphase Flows in Chemical Looping Combustion
(Doktoravhandlinger ved NTNU, 1503-8181; 2014:167, Doctoral thesis, 2014)The fundamental motivation behind this work is the large mismatch between the current trajectory of the global economy and the recommendations of climate science. Given the economic pressures created by the seemingly ... -
Prediction of rheological properties of filler modified cement paste from constituent properties, flow measurements and modelling
(Doctoral theses at NTNU;2022:38, Doctoral thesis, 2022)The world is facing a sand crisis due to depletion of natural deposits of good quality construction sand. Replacement of natural sand is crucial to curb the impact of the crisis. Though several alternatives exist, this ... -
Prediction of shale gas reservoirs using fluid mobility attribute driven by post-stack seismic data: A case study from Southern China
(Peer reviewed; Journal article, 2021)Paleozoic marine shale gas resources in Southern China present broad prospects for exploration and development. However, previous research has mostly focused on the shale in the Sichuan Basin. The research target of this ... -
Prediction of ships’ speed-power relationship at speed intervals below the design speed
(Peer reviewed; Journal article, 2021) -
Prediction of short-term wind and wave conditions for marine operations using a multi-step-ahead decomposition-ANFIS model and quantification of its uncertainty
(Journal article; Peer reviewed, 2019)Short-term predictions of wind and wave properties with a duration of 1–3 days are vital for decision-making during the execution of marine operations. One-step-ahead weather conditions can be accurately predicted via ... -
Prediction of Short-term Wind and Wave Conditions Using Adaptive Network-based Fuzzy Inference System (ANFIS) for Marine Operations
(Chapter, 2018)The paper focuses on prediction of short-term environmental conditions by using an improved ANFIS method for marine operations. The hindcast data used here consists of ten-year long one-hourly time series of mean wind speed ... -
Prediction of Surge and Swab from Field Data Compared with Existing Theory - Analysis of Two Wells in the North Sea
(Master thesis, 2016)Existing theory of surge and swab are compared with field data. The purpose of this master thesis is to examine whether or not existing methods can be used for calculations of surge and swab pressure. Field data from two ... -
Prediction of the accuracy of a dynamic positioning system of a vessel, The Solitaire
(Master thesis, 2011)This report presents the modeling of a pipelay vessel’s motions -the Solitaire- and its DP controller using the bond graph method. The governing equations are obtained with hydrodynamics considerations. Problems of finding ... -
Prediction of the response from ice forces to a lighthouse structure
(Master thesis, 2009) -
Prediction of the response from ice forces to a lighthouse structure: Reanalysis of the Nygrån lighthouse collapseincident in the light of new design codes
(Master thesis, 2010)Ice interacting with offshore structures is one of the main concerns for engineering activities in arcticand sub-arctic areas. As new offshore structures are built or planned in these areas, the need to developmore accurate ... -
Prediction of trench geometry for subsea cable installation using geotechnical and auxiliary data
(Master thesis, 2024)Undervannskabler behøver beskyttelse for å sikre lang levetid, og den mest effektive måten å oppnå dette på er å grave dem ned. Prestasjonsmål for nedgraving av kabler er gjerne relatert til utformingen av grøften skapt ... -
Prediction of Vehicle Crashworthiness Parameters Using Piecewise Lumped Parameters and Finite Element Models
(Journal article; Peer reviewed, 2018)Estimating the vehicle crashworthiness experimentally is expensive and time-consuming. For these reasons, different modelling approaches are utilised to predict the vehicle behaviour and reduce the need for full-scale crash ... -
Prediction of Vessel Activity in Arctic Waters using Supervised Learning Methods
(Master thesis, 2022)Raske miljøendringer i Arktis, i form av varmere temperaturer og smelting av havis, fører til lengre navigasjonssesonger og alternative transportveier. Økt sjøtrafikk i de tøffe klimaforholdene fører til en høyere sannsynlighet ... -
Prediction of vibration from tunnel blasting using machine learning
(Master thesis, 2022)Blasting is the cheapest and most effective way of constructing the tunnel. However, it produces many undesirable consequences from blasting. Some of them are not so important but with increasing, tunneling practice in ... -
Prediction of Width and Thickness of Injection Molded Parts Using Machine Learning Methods
(Chapter, 2021)Injection molding is one of the major processes applied for production of thermoplastic products. Thermoplastic materials are used in manufacturing of dozens of products seen in everyday life, such as: car bumpers, children ... -
Predictions for Railway Traveller Information
(Master thesis, 2023)Jernbanen har alltid vært en viktig samfunnsaktør for hverdagslig transport. For å kunne opprettholde en effektiv jernbanetrafikkplanlegging og styring, så er nøyaktig sanntids tog forsinkelses prediksjoner essensielt. Med ... -
Predictions for Railway Traveller Information
(Master thesis, 2023)Jernbanen har alltid vært en viktig samfunnsaktør for hverdagslig transport. For å kunne opprettholde en effektiv jernbanetrafikkplanlegging og styring, så er nøyaktig sanntids tog forsinkelses prediksjoner essensielt. Med ... -
Predictive accident modeling approach inrelation to workover systems
(Master thesis, 2011)Hydro carbon releases are the main contributor to the major accident risk on oil and gas platforms, and the Petroleum Safety Authority Norway (PSA) has thus set a target for reducing such releases. Traditionally topside ... -
Predictive Analytics for the Development of Green Lubricants Using Machine Learning
(Master thesis, 2024)Denne avhandlingen utforsker utviklingen av maskinlæringsmodeller for å forutsi friksjonskoeffisienten (COF) og slitasjegrad ved bruk av molekylære deskriptorer. Studiet benytter ulike maskinlæringsteknikker, inkludert ... -
Predictive Maintenance and Battery Management for wireless sensors.
(Master thesis, 2019)Wireless sensor networks (WSNs) becomes an emerging technology and has been adopted by several companies for data communication and processing. Many leading companies use wireless sensor’s network for different purposes. ...