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2024
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1. |
Abdulhaque, Abdullah; Kvamsdal, Trond; Johannessen, Kjetil Andre; Kumar, Mukesh; Kvarving, Arne Morten. An efficient and easy-to-implement recovery-based a posteriori error estimator for isogeometric analysis of the Stokes equation. Computer Methods in Applied Mechanics and Engineering 2024 ;Volum 424. s. - NTNU SINTEF
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Sørbø, Sondre; Blakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer. Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions. Applied Soft Computing 2024 ;Volum 153. NTNU ENERGISINT SINTEF
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2023
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Keilegavlen, Eirik; Fonn, Eivind; Johannessen, Kjetil Andre; Eikehaug, Kristoffer; Both, Jakub Wiktor; Fernø, Martin; Kvamsdal, Trond; Rasheed, Adil; Nordbotten, Jan Martin. PoroTwin: A Digital Twin for a FluidFlower Rig. Transport in Porous Media 2023 s. - UiB NORCE SINTEF NTNU
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Keilegavlen, Eirik; Fonn, Eivind; Johannessen, Kjetil; Eikehaug, Kristoffer; Both, Jakub Wiktor; Fernø, Martin; Kvamsdal, Trond; Rasheed, Adil; Nordbotten, Jan Martin. PoroTwin: A Digital Twin for a Meter-Scale Porous Media. SIAM Conference on Mathematical & Computational Issues in the Geosciences; 2023-06-19 - 2023-06-22 UiB NTNU NORCE SINTEF
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Both, Jakub Wiktor; Keilegavlen, Eirik; Nordbotten, Jan Martin; Eikehaug, Kristoffer; Fernø, Martin; Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; Johannessen, Kjetil. PoroTwin: A Digital Twin for a Meter-Scale Porous Medium. SIAM CSE 2023; 2023-02-27 - 2023-03-03 UiB NORCE NTNU SINTEF
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Kvamsdal, Trond; Fonn, Eivind; Rasheed, Adil; Tsiolakis, Vasileios; Brummelen, Harald van. Reduced Order Modelling (ROM) and Hybrid Analysis and Modelling (HAM) as Enablers for Predictive Digital Twins (DT). Politecnico di Milano; Universitat Politecnica de Catalunya; 2023-05-30 - 2023-06-01 SINTEF NTNU
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Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; Tsiolakis, Vasileios. Enabling Technologies for Predictive Digital Twins. INRIA-LJLL Seminar; 2023-11-06 - 2023-11-06 NTNU
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8. |
Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; Tsiolakis, Vasileios; Brummelen, Harald van. Digital Twins as an enabling technology for disruptive improvement of computational methods in marine engineering. X International Conference on Computational Methods in Marine Engineering; 2023-06-27 - 2023-06-29 NTNU
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Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; Tsiolakis, Vasileios; Brummelen, Harald van. Hybrid Analysis and Modelling to Enable Digital Twins. III International Conference on Computational Science and AI in Industry (CSAI 2023); 2023-08-28 - 2023-08-30 NTNU
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Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; Tsiolakis, Vasileios; Eftang, Jens Lohne; Brummelen, Harald van. Enabling Technologies for Predictive Digital Twins. Ecole nationale Superieure d'Arts et Metiers (ENSAM); 2023-12-13 - 2023-12-13 NTNU
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11. |
Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; Tsiolakis, Vasileios; Eftang, Jens Lohne; Brummelen, Harald van. Enabling Technologies for Predictive Digital Twins. Conservatoire national des arts et metiers (CNAM); 2023-12-13 - 2023-12-13 NTNU
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12. |
Kvamsdal, Trond; Rasheed, Adil; Tsiolakis, Vasileios; Brummelen, Harald van. Enabling technology for predictive digital twins. CM3-TRANSPORT 2023; 2023-05-15 - 2023-05-17 NTNU
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Mian, Haris Hameed; Siddiqui, Muhammad Salman; Yang, Liang; Kvamsdal, Trond; Asim, Taimoor. Estimating the blade roughness effect on wind turbine performance and wake dynamics. Deepwind conference; 2023-01-18 - 2023-01-20 NMBU NTNU
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Mian, Haris Hameed; Siddiqui, Muhammad Salman; Yang, Liang; Kvamsdal, Trond; Asim, Taimoor. Numerical investigation of blade roughness impact on the aerodynamic performance and wake behavior of horizontal axis wind turbine. Journal of Physics: Conference Series (JPCS) 2023 ;Volum 2626.(012073) s. - NTNU NMBU
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15. |
Midjiyawa, Zakari; Venås, Jon Vegard; Kvamsdal, Trond; Kvarving, Arne Morten; Midtbø, Knut Helge; Rasheed, Adil. Nested computational fluid dynamic modeling of mean turbulent quantities estimation in complex topography using AROME-SIMRA. Journal of Wind Engineering and Industrial Aerodynamics 2023 ;Volum 240. s. - NTNU MET SINTEF
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16. |
Stadtmann, Florian; Rasheed, Adil; Kvamsdal, Trond; Johannessen, Kjetil Andre; San, Omer; Kölle, Konstanze; Tande, John Olav Giæver; Barstad, Idar; Benhamou, Alexis; Brathaug, Thomas; Christiansen, Tore; Firle, Anouk-Letizia; Fjeldly, Alexander; Frøyd, Lars; Gleim, Alexander; Høiberget, Alexander; Meissner, Catherine; Nygård, Guttorm; Olsen, Jørgen; Paulshus, Håvard; Rasmussen, Tore; Rishoff, Elling; Scibilia, Francesco; Skogås, John Olav. Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. IEEE Access 2023 ;Volum 11. s. 110762-110795 NTNU SINTEF ENERGISINT
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17. |
Stephansen, Annette; Bakhoday Paskyabi, Mostafa; Kvamsdal, Trond; Kölle, Konstanze; Heggelund, Yngve. CONWIND – research on smart operation control technologies for offshore wind farms. EERA DeepWind'2023; 2023-01-18 - 2023-01-20 UiB SINTEF ENERGISINT NTNU NORCE
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18. |
Tsiolakis, Vasileios; Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; Brummelen, Harald van. Coupled reduced order model components for flow problems. Coupled Problems 2023: X International Conference on Computional Methods for Coupled Problems in Science and Engineering; 2023-06-05 - 2023-06-07 NTNU
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2022
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19. |
Bekele, Yared Worku; Fonn, Eivind; Kvamsdal, Trond; Kvarving, Arne Morten; Nordal, Steinar. Mixed Method for Isogeometric Analysis of Coupled Flow and Deformation in Poroelastic Media. Applied Sciences 2022 ;Volum 12.(6) SINTEF NTNU
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20. |
Blakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer. Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach. Applied Soft Computing 2022 ;Volum 128. s. - SINTEF NTNU
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21. |
Blakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer. Deep neural network enabled corrective source term approach to hybrid analysis and modeling. Neural Networks 2022 ;Volum 146. s. 181-199 NTNU SINTEF
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22. |
Kvamsdal, Trond; Mathisen, Kjell Magne; Lie, Knut-Andreas; Larson, Mats G.. 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2022). European Community on Computional Methods in Applied Sciences (ECCOMAS) 2022 (ISBN 9788412322286) 0 s. NTNU
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23. |
Okstad, Knut Morten; Kvamsdal, Trond; Mathisen, Kjell Magne; Johannessen, Kjetil Andre; Kvarving, Arne Morten. Adaptive Isogeometric Analysis of Thin Shell Problems with Kirchhoff–Love Elements. Isogeometric Analysis 2022; 2022-11-06 - 2022-11-09 SINTEF NTNU
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24. |
Pawar, Suraj; San, Omer; Vedula, Prakash; Rasheed, Adil; Kvamsdal, Trond. Multi-fidelity information fusion with concatenated neural networks. Scientific Reports 2022 ;Volum 12. s. - NTNU SINTEF
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25. |
Tabib, Mandar; Tsiolakis, Vasileios; Pawar, Suraj; Ahmed, Shady E.; Rasheed, Adil; Kvamsdal, Trond; San, Omer. Hybrid deep-learning POD-based parametric reduced order model for flow around wind-turbine blade. Journal of Physics: Conference Series (JPCS) 2022 ;Volum 2362. s. - NTNU SINTEF
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26. |
Tsiolakis, Vasileios; Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; van Brummelen, Harald. A reduced order model strategy for the efficient approximation of transient, turbulent flow around wind-turbine blades. EERA Deepwind 2022; 2022-01-19 - 2022-01-21 NTNU
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27. |
Tsiolakis, Vasileios; Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; van Brummelen, Harald. Complexity reduction of geometrically parametrised turbulent flows via reduced order models. WCCM 2022; 2022-07-31 - 2022-08-05 NTNU
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28. |
Tsiolakis, Vasileios; Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; van Brummelen, Harald. Reduced order models for the solution of geometrically-parametrised turbulent flow problems. ECCOMAS 2022; 2022-06-05 - 2022-06-09 NTNU
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29. |
Venås, Jon Vegard; Kvamsdal, Trond. Isogeometric analysis of acoustic scattering with perfectly matched layers (IGAPML). Computer Methods in Applied Mechanics and Engineering 2022 ;Volum 401. NTNU SINTEF
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2021
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30. |
Blakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer. Deep Neural Network Enabled Corrective Source Term Approach for Predictive Digital Twins. NorwAI Innovate Conference; 2021-10-20 - 2021-10-20 SINTEF NTNU ENERGISINT
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31. |
Pawar, Suraj; San, Omer; Nair, Aditya; Rasheed, Adil; Kvamsdal, Trond. Model fusion with physics-guided machine learning: Projection-based reduced-order modeling. Physics of Fluids 2021 ;Volum 33.(6) s. - SINTEF NTNU
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32. |
Rasheed, Adil; Kvamsdal, Trond. Hybrid Analysis and Modeling. Lectures at the Center for Modeling of Coupled Subsurface Dynamics, University of Bergen.; 2021-04-09 - 2021-04-23 NTNU
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33. |
San, Omer; Rasheed, Adil; Kvamsdal, Trond. Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution. GAMM-Mitteilungen 2021 ;Volum 44.(2) NTNU SINTEF
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34. |
Tabib, Mandar; Midtbø, Knut Helge; Rasheed, Adil; Kvamsdal, Trond; Skaslien, Tor. A nested multi-scale model for assessing urban wind conditions : Comparison of Large Eddy Simulation versus RANS turbulence models when operating at the finest scale of the nesting. Journal of Physics: Conference Series (JPCS) 2021 ;Volum 2018. s. - NTNU SINTEF MET
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35. |
Tande, John Olav Giæver; Kvamsdal, Trond. Høringssvar om havvind fra SINTEF og NTNU Kunnskapsbasert utvikling, kvalitative konkurranser og raskt tempo. ENERGISINT NTNU
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36. |
Tsiolakis, Vasileios; Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; Brummelen, Harald van. Reduced order models for finite-volume simulations of turbulent flow around wind-turbine blades. Journal of Physics: Conference Series (JPCS) 2021 ;Volum 2018. s. - NTNU SINTEF
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37. |
Zakari, Aoudou Midjiyawa; Cheynet, Etienne; Reuder, Heinrich Joachim; Ágústsson, Hálfdán; Kvamsdal, Trond. Potential and challenges of wind measurements using met-masts in complex topography for bridge design: Part I - Integral flow characteristics. Journal of Wind Engineering and Industrial Aerodynamics 2021 ;Volum 211. s. - UiB MET NTNU
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38. |
Zakari, Aoudou Midjiyawa; Cheynet, Etienne; Reuder, Joachim; Ágústsson, Hálfdán; Kvamsdal, Trond. Potential and challenges of wind measurements using met-masts in complex topography for bridge design: Part II – Spectral flow characteristics. Journal of Wind Engineering and Industrial Aerodynamics 2021 ;Volum 211. MET UiB NTNU
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2020
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39. |
Fonn, Eivind; van Brummelen, Harald; Kvamsdal, Trond; Rasheed, Adil. Fast divergence-conforming reduced basis methods for stationary and transient flow problems. Journal of Physics: Conference Series (JPCS) 2020 ;Volum 1669. s. - NTNU SINTEF
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40. |
Pawar, Suraj; San, Omer; Aksoylu, Burak; Rasheed, Adil; Kvamsdal, Trond. Physics guided machine learning using simplified theories. Physics of Fluids 2020 ;Volum 33.(1) s. 011701- NTNU SINTEF
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41. |
Rasheed, Adil; San, Omer; Kvamsdal, Trond. Digital Twin: Values, Challenges and Enablers from a modelling perspective. IEEE Access 2020 ;Volum 8. s. 21980-22012 SINTEF NTNU
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42. |
Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond. Numerical assessment of RANS turbulence models for the development of data driven Reduced Order Models. Ocean Engineering 2020 ;Volum 196. SINTEF NTNU
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43. |
Tabib, Mandar; Midtbø, Knut Helge; Skaslien, Tor; Rasheed, Adil; Kvamsdal, Trond. Towards Understanding Wind Impact for Drone Operations: A Comparison of Wind Models Operating on Different Scales in a Nested Multiscale Set-Up. I: Proceedings from the 14th International Conference on CFD in Oil & Gas, Metallurgical and Process Industries, SINTEF, Trondheim, Norway, October 12–14, 2020. SINTEF akademisk forlag 2020 ISBN 978-82-536-1684-1. s. 155-162 MET NTNU SINTEF
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44. |
Tran, Duy Tan; Robinson, Haakon; Rasheed, Adil; San, Omer; Tabib, Mandar; Kvamsdal, Trond. GANs enabled super-resolution reconstruction of wind field. Journal of Physics: Conference Series (JPCS) 2020 ;Volum 1669.(012029) NTNU SINTEF
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2019
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45. |
Fonn, Eivind; Brummelen, Harald van; Kvamsdal, Trond; Rasheed, Adil. Fast divergence-conforming reduced basis methods for steady Navier–Stokes flow. Computer Methods in Applied Mechanics and Engineering 2019 ;Volum 346. s. 486-512 NTNU SINTEF
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46. |
Kvamsdal, Trond; Okstad, Knut Morten; Kumar, Mukesh; Kvarving, Arne Morten; Mathisen, Kjell Magne. Adaptive Isogeometric Methods for Thin Plates. 10th National Conference on Computational Mechanics; 2019-06-03 - 2019-06-04 NTNU SINTEF
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47. |
Kvamsdal, Trond; Okstad, Knut Morten; Kumar, Mukesh; Kvarving, Arne Morten; Mathisen, Kjell Magne. Adaptive Isogeometric Methods for Thin Plates. I: MekIT’19 - 10th National Conference on Computational Mechanics (Trondheim, Norway, 3-4 June 2019). International Center for Numerical Methods in Engineering (CIMNE) 2019 ISBN 978-84-949194-9-7. s. 237-248 NTNU SINTEF
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48. |
Odsæter, Lars Hov; Kvamsdal, Trond; Larson, Mats. A simple embedded discrete fracture-matrix model for a coupled flow and transport problem in prous media. Computer Methods in Applied Mechanics and Engineering 2019 ;Volum 343. s. 572-601 NTNU
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49. |
Rasheed, Adil; San, Omer; Kvamsdal, Trond. Hybrid Analysis and Modeling as an enabler for Big Data Cybernetics. Oulu, Finland: University of Oulu 2019 (ISBN 978-952-62-2420-6) ;Volum 1.4 s. Proceedings of NSCM 32: The 32nd Nordic Seminar on Computational Mechanics(1) NTNU
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50. |
Siddiqui, Muhammad Salman; Fonn, Eivind; Kvamsdal, Trond; Rasheed, Adil. Finite-Volume High-Fidelity Simulation Combined with Finite-Element-Based Reduced-Order Modeling of Incompressible Flow Problems. Energies 2019 ;Volum 12.(7) Suppl. 1271 SINTEF NTNU
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