Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Leif Rune Hellevik"'
Autor:
Andreas Strand, Ivar Eskerud Smith, Tor Erling Unander, Ingelin Steinsland, Leif Rune Hellevik
Publikováno v:
Algorithms, Vol 13, Iss 3, p 53 (2020)
Uncertainty propagation is used to quantify the uncertainty in model predictions in the presence of uncertain input variables. In this study, we analyze a steady-state point-model for two-phase gas-liquid flow. We present prediction intervals for hol
Externí odkaz:
https://doaj.org/article/74d7dca8ce254e4faef0cac5b3684e46
Autor:
Friederike Schäfer, Jacob Sturdy, Mateusz Mesek, Aleksander Sinek, Ryszard Białecki, Ziemowit Ostrowski, Bartłomiej Melka, Marcin Nowak, Leif Rune Hellevik
Publikováno v:
Linköping Electronic Conference Proceedings.
Increasing age and cardiovascular diseases lead to stiffening of the vasculature. Knowledge about an individual’s arterial stiffness gives insights into the current state of the cardiovascular system and it is considered to be a valuable diagnostic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5cd5abe178dce82f05afd2cc25adcb0
https://doi.org/10.3384/ecp192036
https://doi.org/10.3384/ecp192036
Publikováno v:
Mathematical biosciences. 343
Physics-based models can be applied to describe mechanisms in both health and disease, which has the potential to accelerate the development of personalized medicine. The aim of this study was to investigate the feasibility of personalizing a model o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a05ee56d1628ff0338881d07e8034c3
https://pubmed.ncbi.nlm.nih.gov/34758345
https://pubmed.ncbi.nlm.nih.gov/34758345
Publikováno v:
International Journal for Uncertainty Quantification
The prediction uncertainty in simulators for industrial processes is due to uncertainties in the input variables and uncertainties in specification of the models, in particular the closure laws. In this work, the uncertainty in each closure law was m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05b431f8212dda6b3ad642bd45f95caa
https://hdl.handle.net/11250/2994674
https://hdl.handle.net/11250/2994674
Publikováno v:
International Journal of Multiphase Flow
A high degree of repeatability is most often an underlying assumption for research and development based on multiphase flow experiments. In this paper repeatability in multiphase flow experiments are studied through an experimental campaign with 28 r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45685909cb078cb40b7bbf1c9353d34d
https://hdl.handle.net/11250/2988912
https://hdl.handle.net/11250/2988912
Autor:
Tor Erling Unander, Leif Rune Hellevik, Andreas Strand, Ingelin Steinsland, Ivar Eskerud Smith
Publikováno v:
Algorithms
Algorithms, Vol 13, Iss 3, p 53 (2020)
Volume 13
Issue 3
Algorithms, Vol 13, Iss 3, p 53 (2020)
Volume 13
Issue 3
Uncertainty propagation is used to quantify the uncertainty in model predictions in the presence of uncertain input variables. In this study, we analyze a steady-state point-model for two-phase gas-liquid flow. We present prediction intervals for hol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59dc35ee1d01bdd899c8a1dfd749bbbb
https://hdl.handle.net/11250/3025325
https://hdl.handle.net/11250/3025325
Autor:
Paul Morris, Rebecca Gosling, Jacob Sturdy, Julian Gunn, Patricia V. Lawford, Leif Rune Hellevik, Fredrik Eikeland Fossan, D. Rodney Hose
Publikováno v:
Journal of Biomechanics
Recent efforts have demonstrated the ability of computational models to predict fractional flow reserve from coronary artery imaging without the need for invasive instrumentation. However, these models include only larger coronary arteries as smaller
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::200f46b01bd30c508fdb21a0ba74b5b0
https://hdl.handle.net/11250/2738009
https://hdl.handle.net/11250/2738009
Autor:
Lucas O. Müller, Jacob Sturdy, Fredrik Eikeland Fossan, Andreas Strand, Leif Rune Hellevik, Rune Wiseth, Anders Tjellaug Bråten, Arve Jørgensen
Publikováno v:
Cardiovascular Engineering and Technology. 9:597-622
The main objectives of this study are to validate a reduced-order model for the estimation of the fractional flow reserve (FFR) index based on blood flow simulations that incorporate clinical imaging and patient-specific characteristics, and to asses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::693e042f49db391f395178d1caf03eaf
https://doi.org/10.1007/s13239-018-00388-w
https://doi.org/10.1007/s13239-018-00388-w
Publikováno v:
Journal of Mechanics of Materials and Structures
A number of studies have directly compared measurements of polycrystals’ deformation to the solution of a crystal plasticity model of the same polycrystal. An accurate representation of the full 3D microstructure and the boundary conditions has bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38d29425534eb9eda80ba31bbabfdaf3
https://doi.org/10.2140/jomms.2018.13.379
https://doi.org/10.2140/jomms.2018.13.379
Autor:
Lucas O. Müller, Fredrik Eikeland Fossan, Jacob Sturdy, Anders Tjellaug Bråten, Leif Rune Hellevik, Rune Wiseth, Arve Jørgensen
Publikováno v:
Computer Methods in Applied Mechanics and Engineering
Computational predictions in cardiovascular medicine have largely relied on explicit models derived from physical and physiological principles. Recently, the application of artificial intelligence in cardiovascular medicine has grown substantially. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff18dc0763c26318d02b0a1124e0752b
https://doi.org/10.1016/j.cma.2021.113892
https://doi.org/10.1016/j.cma.2021.113892