E-LIB Suche - Ergebnisse für: Kvamsdal, Trond

1

An efficient and easy-to-implement recovery-based a posteri..:

Abdulhaque, Abdullah ; Kvamsdal, Trond ; Johannessen, Kjetil André..
Computer Methods in Applied Mechanics and Engineering. 424 (2024) - p. 116889 , 2024

Link: https://doi.org/10.1016/..

2

Enhancing elasticity models with deep learning: A novel cor..:

Sørbø, Sondre ; Blakseth, Sindre Stenen ; Rasheed, Adil..
Applied Soft Computing. 153 (2024) - p. 111312 , 2024

Link: https://doi.org/10.1016/..

3

Digital Twins in Wind Energy: Emerging Technologies and Ind..:

Stadtmann, Florian ; Rasheed, Adil ; Kvamsdal, Trond...
IEEE Access. 11 (2023) - p. 110762-110795 , 2023

Link: https://doi.org/10.1109/..

4

Nested computational fluid dynamic modeling of mean turbule..:

Midjiyawa, Zakari ; Venås, Jon Vegard ; Kvamsdal, Trond...
Journal of Wind Engineering and Industrial Aerodynamics. 240 (2023) - p. 105497 , 2023

Link: https://doi.org/10.1016/..

5

PoroTwin: A Digital Twin for a FluidFlower Rig:

Keilegavlen, Eirik ; Fonn, Eivind ; Johannessen, Kjetil...
Transport in Porous Media. 151 (2023) 5 - p. 1241-1260 , 2023

Link: https://doi.org/10.1007/..

6

Isogeometric analysis of acoustic scattering with perfectly..:

Venås, Jon Vegard ; Kvamsdal, Trond
Computer Methods in Applied Mechanics and Engineering. 401 (2022) - p. 115647 , 2022

Link: https://doi.org/10.1016/..

7

Hybrid deep-learning POD-based parametric reduced order mod..:

Tabib, Mandar V ; Tsiolakis, Vasileios ; Pawar, Suraj...
Journal of Physics: Conference Series. 2362 (2022) 1 - p. 012039 , 2022

Link: https://doi.org/10.1088/..

8

Multi-fidelity information fusion with concatenated neural ..:

Pawar, Suraj ; San, Omer ; Vedula, Prakash..
Scientific Reports. 12 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..

9

Mixed Method for Isogeometric Analysis of Coupled Flow and ..:

Bekele, Yared Worku ; Fonn, Eivind ; Kvamsdal, Trond..
Applied Sciences. 12 (2022) 6 - p. 2915 , 2022

Link: https://doi.org/10.3390/..

10

Deep neural network enabled corrective source term approach..:

Blakseth, Sindre Stenen ; Rasheed, Adil ; Kvamsdal, Trond.
Neural Networks. 146 (2022) - p. 181-199 , 2022

Link: https://doi.org/10.1016/..

11

Combining physics-based and data-driven techniques for reli..:

Blakseth, Sindre Stenen ; Rasheed, Adil ; Kvamsdal, Trond.
Applied Soft Computing. 128 (2022) - p. 109533 , 2022

Link: https://doi.org/10.1016/..

12

Hybrid analysis and modeling, eclecticism, and multifidelit..:

San, Omer ; Rasheed, Adil ; Kvamsdal, Trond
GAMM-Mitteilungen. 44 (2021) 2 - p. , 2021

Link: https://doi.org/10.1002/..

13

Potential and challenges of wind measurements using met-mas..:

Midjiyawa, Zakari ; Cheynet, Etienne ; Reuder, Joachim..
Journal of Wind Engineering and Industrial Aerodynamics. 211 (2021) - p. 104584 , 2021

Link: https://doi.org/10.1016/..

14

A nested multi-scale model for assessing urban wind conditi..:

Tabib, Mandar V ; Midtbø, Knut Helge ; Rasheed, Adil..
Journal of Physics: Conference Series. 2018 (2021) 1 - p. 012039 , 2021

Link: https://doi.org/10.1088/..

15

Reduced order models for finite-volume simulations of turbu..:

Tsiolakis, Vasileios ; Kvamsdal, Trond ; Rasheed, Adil..
Journal of Physics: Conference Series. 2018 (2021) 1 - p. 012042 , 2021

Link: https://doi.org/10.1088/..