Sindre Stenen Blakseth
Om
Som stipendiat jobber jeg med modellering av transporttanker for flytende hydrogen ved bruk av elementmetoden. Jeg har bakgrunn som sivilingeniør i teknisk fysikk fra NTNU. Ved siden av stipendiatstillingen har jeg en forskningsstilling hos SINTEF Energi hvor jeg jobber med utvikling av teknologi relatert til utvikling av hydrogenrelatert teknologi og digitalisering.
Publikasjoner
2024
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Sørbø, Sondre;
Blakseth, Sindre Stenen;
Rasheed, Adil;
Kvamsdal, Trond;
San, Omer.
(2024)
Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions.
Applied Soft Computing
Vitenskapelig artikkel
2023
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Blakseth, Sindre Stenen;
Andersson, Leif Erik;
Mocholí Montañés, Rubén ;
Mazzetti, Marit Jagtoyen.
(2023)
Hybrid Dynamic Surrogate Modelling for a Once-Through Steam Generator.
Computer-aided chemical engineering
Vitenskapelig artikkel
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Belay, Mohammed Ayalew;
Blakseth, Sindre Stenen;
Rasheed, Adil;
Salvo Rossi, Pierluigi.
(2023)
Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions.
Sensors
Vitenskapelig artikkel
2022
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Blakseth, Sindre Stenen;
Rasheed, Adil;
Kvamsdal, Trond;
San, Omer.
(2022)
Deep neural network enabled corrective source term approach to hybrid analysis and modeling.
Neural Networks
Vitenskapelig artikkel
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Blakseth, Sindre Stenen;
Rasheed, Adil;
Kvamsdal, Trond;
San, Omer.
(2022)
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach.
Applied Soft Computing
Vitenskapelig artikkel
2021
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Blakseth, Sindre Stenen;
Rasheed, Adil.
(2021)
Introducing CoSTA: A Deep Neural Network Enabled Approach to Improving Physics-Based Numerical Simulations.
Norwegian University of Science and Technology
Mastergradsoppgave
Tidsskriftspublikasjoner
-
Sørbø, Sondre;
Blakseth, Sindre Stenen;
Rasheed, Adil;
Kvamsdal, Trond;
San, Omer.
(2024)
Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions.
Applied Soft Computing
Vitenskapelig artikkel
-
Blakseth, Sindre Stenen;
Andersson, Leif Erik;
Mocholí Montañés, Rubén ;
Mazzetti, Marit Jagtoyen.
(2023)
Hybrid Dynamic Surrogate Modelling for a Once-Through Steam Generator.
Computer-aided chemical engineering
Vitenskapelig artikkel
-
Belay, Mohammed Ayalew;
Blakseth, Sindre Stenen;
Rasheed, Adil;
Salvo Rossi, Pierluigi.
(2023)
Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions.
Sensors
Vitenskapelig artikkel
-
Blakseth, Sindre Stenen;
Rasheed, Adil;
Kvamsdal, Trond;
San, Omer.
(2022)
Deep neural network enabled corrective source term approach to hybrid analysis and modeling.
Neural Networks
Vitenskapelig artikkel
-
Blakseth, Sindre Stenen;
Rasheed, Adil;
Kvamsdal, Trond;
San, Omer.
(2022)
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach.
Applied Soft Computing
Vitenskapelig artikkel
Rapport
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Blakseth, Sindre Stenen;
Rasheed, Adil.
(2021)
Introducing CoSTA: A Deep Neural Network Enabled Approach to Improving Physics-Based Numerical Simulations.
Norwegian University of Science and Technology
Mastergradsoppgave
Formidling
2024
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Vitenskapelig foredragBlakseth, Sindre Stenen; Gjennestad, Magnus Aashammer; Massing, André Jürgen. (2024) Coupled Thermoelasticity and Non-Local Radiation Modelling for Cryogenic Storage Vessels. ECCOMAS ECCOMAS Congress 2024 , Lisboa, Portugal 2024-06-03 - 2024-06-07
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Vitenskapelig foredragBlakseth, Sindre Stenen; Aasen, Ailo; Massing, André Jürgen; Gjennestad, Magnus Aashammer. (2024) Thermal Performance Estimation Techniques for Liquid Hydrogen Containment Systems. SINTEF H2Science , Trondheim, Norge 2024-06-17 - 2024-06-19
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PosterBlakseth, Sindre Stenen; Aasen, Ailo; Massing, André Jürgen; Gjennestad, Magnus Aashammer. (2024) Modelling heat ingress in LH2 containment systems – thermal resistance networks vs. the finite element method. ICEC Organizing Committee Internation Cryogenic Engineering Conference 20 , Geneve, Sveits 2024-07-22 - 2024-07-26
2023
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Faglig foredragBlakseth, Sindre Stenen. (2023) Modelling of a Nonlinear Contact Resistance in a Finite Element Framework. LH2 Pioneer web seminar 2023-09-14 -
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Vitenskapelig foredragBlakseth, Sindre Stenen; Massing, André Jürgen. (2023) Modelling of Nonlinear Contact Resistance in a Finite Element Framework. ECCOMAS International Conference on Computational Methods for Coupled Problems in Science and Engineering (COUPLED PROBLEMS 2023) , Chania, Kreta 2023-06-05 - 2023-06-07
2021
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PosterBlakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer. (2021) Deep Neural Network Enabled Corrective Source Term Approach for Predictive Digital Twins. Norwegian Research Center for AI Innovation NorwAI Innovate Conference , Trondheim 2021-10-20 - 2021-10-20
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Faglig foredragAndersson, Leif Erik; Blakseth, Sindre Stenen. (2021) Surrogate Modelling for Digital Twin. SINTEF Energi DIGITAL TWIN Technical Meeting 01 , Trondheim 2021-12-01 - 2021-12-01