Trond Kvamsdal

22 papers Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Machine Learning (ML) based Reduced Order Modeling (ROM) for linear and non-linear solid and structural mechanics.
CoRR
Mikhael Tannous, Chady Ghnatios, Eivind Fonn, Trond Kvamsdal, Francisco Chinesta
2025 J jnl
Machine learning (ML) based reduced order modelling (ROM) for linear and non-linear solid and structural mechanics.
Adv. Model. Simul. Eng. Sci.
Mikhael Tannous, Chady Ghnatios, Eivind Fonn, Trond Kvamsdal, Francisco Chinesta
2024 J jnl
Digital Twin for Wind Energy: Latest updates from the NorthWind project.
CoRR
Adil Rasheed, Florian Stadtmann, Eivind Fonn, Mandar V. Tabib, Vasileios Tsiolakis, Balram Panjwani, Kjetil André Johannessen, Trond Kvamsdal, Omer San, John Olav Giæver Tande, Idar Barstad, Tore Christiansen, Elling Rishoff, Lars Frøyd, Tore Rasmussen
2024 J jnl
Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions.
Appl. Soft Comput.
Sondre Sørbø, Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
2024 J jnl
Physics-guided federated learning as an enabler for digital twins.
Expert Syst. Appl.
Florian Stadtmann, Erik Rugaard Furevik, Adil Rasheed, Trond Kvamsdal
2024 J jnl
Predictive digital twin for wind energy systems: a literature review.
Energy Inform.
Ege Kandemir, Agus Hasan, Trond Kvamsdal, Saleh Abdel-Afou Alaliyat
2023 J jnl
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions.
IEEE Access
Florian Stadtmann, Adil Rasheed, Trond Kvamsdal, Kjetil André Johannessen, Omer San, Konstanze Kölle, John Olav Giæver Tande, Idar Barstad, Alexis Benhamou, Thomas Brathaug, Tore Christiansen, Anouk-Letizia Firle, Alexander Fjeldly, Lars Frøyd, Alexander Gleim, Alexander Høiberget, Catherine Meissner, Guttorm Nygård, Jørgen Olsen, Håvard Paulshus, Tore Rasmussen, Elling Rishoff, Francesco Scibilia, John Olav Skogås
2023 J jnl
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions.
CoRR
Florian Stadtmann, Adil Rasheed, Trond Kvamsdal, Kjetil André Johannessen, Omer San, Konstanze Kölle, John Olav Giæver Tande, Idar Barstad, Alexis Benhamou, Thomas Brathaug, Tore Christiansen, Anouk-Letizia Firle, Alexander Fjeldly, Lars Frøyd, Alexander Gleim, Alexander Høiberget, Catherine Meissner, Guttorm Nygård, Jørgen Olsen, Håvard Paulshus, Tore Rasmussen, Elling Rishoff, John Olav Skogås
2023 J jnl
Enhancing Elasticity Models: A Novel Corrective Source Term Approach for Accurate Predictions.
CoRR
Sondre Sørbø, Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
2022 J jnl
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach.
Appl. Soft Comput.
Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
2022 J jnl
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach.
CoRR
Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
2022 J jnl
Deep neural network enabled corrective source term approach to hybrid analysis and modeling.
Neural Networks
Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
2022 J jnl
Isogeometric Analysis of Acoustic Scattering using Infinite Elements.
CoRR
Jon Vegard Venås, Trond Kvamsdal, Trond Jenserud
2022 J jnl
Isogeometric Analysis of Acoustic Scattering with Perfectly Matched Layers (IGAPML).
CoRR
Jon Vegard Venås, Trond Kvamsdal
2022 J jnl
Isogeometric boundary element method for acoustic scattering by a submarine.
CoRR
Jon Vegard Venås, Trond Kvamsdal
2021 J jnl
Deep neural network enabled corrective source term approach to hybrid analysis and modeling.
CoRR
Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
2021 J jnl
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution.
CoRR
Omer San, Adil Rasheed, Trond Kvamsdal
2020 J jnl
Digital Twin: Values, Challenges and Enablers From a Modeling Perspective.
IEEE Access
Adil Rasheed, Omer San, Trond Kvamsdal
2020 J jnl
Physics guided machine learning using simplified theories.
CoRR
Suraj Pawar, Omer San, Burak Aksoylu, Adil Rasheed, Trond Kvamsdal
2015 J jnl
Simple a posteriori error estimators in adaptive isogeometric analysis.
Comput. Math. Appl.
Mukesh Kumar, Trond Kvamsdal, Kjetil André Johannessen
1999 J jnl
Object-Oriented Programming in Field Recovery and Error Estimation.
Eng. Comput.
Knut M. Okstad, Trond Kvamsdal
1998 — conf
Parallel Methods for Fluid-Structure Interaction.
PARA
Carl B. Jenssen, Trond Kvamsdal, Knut M. Okstad, Jørn Amundsen