Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Per Erlend Voie"'
The mooring systems on floating offshore installations are typically designed for a life of 25 years. Life extension of installations beyond the original design life thus requires either mooring system replacement or assessment to document life exten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bab7affa7ba2f88edaaf920870ee3550
https://doi.org/10.1115/1.885789_ch7
https://doi.org/10.1115/1.885789_ch7
Publikováno v:
Journal of Offshore Mechanics and Arctic Engineering. 141
Deepwater risers are susceptible to vortex-induced vibrations (VIV) when subjected to currents. When responding at high modes, fatigue damage in the inline (IL) direction may become equally important as the crossflow (CF) components. Accurate calcula
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment. 230:434-443
When using artificial neural networks in methods for dynamic analysis of slender structures, the computational effort associated with time-domain response simulation may be reduced drastically compared to classic solution strategies. This article dem
Autor:
Michael S. Triantafyllou, Themistocles L. Resvanis, Per Erlend Voie, Kim Vandiver, Rolf Baarholm, Carl M. Larsen, Jie Wu
Publikováno v:
Volume 2: Prof. Carl Martin Larsen and Dr. Owen Oakley Honoring Symposia on CFD and VIV.
The present paper consolidates available experimental results for both sub-critical and critical Reynolds numbers and varying surface roughness and formulates a coefficient excitation model that aims at unbiased response estimates when using semi-emp
Deepwater risers are susceptible to Vortex Induced Vibrations (VIV) when subjected to currents. When responding at high modes, fatigue damage the in in-line (IL) direction may become equally important as the cross-flow (CF) components. If a riser exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7bcb1920cad87dda49a1f7eab156baf
http://hdl.handle.net/11250/2465506
http://hdl.handle.net/11250/2465506
Publikováno v:
Volume 1: Offshore Technology; Offshore Geotechnics.
As oil and gas exploration moves to deeper waters the need for methods to conduct reliable model experiments increases. It is difficult obtain useful data by putting a scaled model of an entire mooring line systems into an ocean basin test facility.
Publikováno v:
Volume 6B: Pipeline and Riser Technology.
The fatigue life of risers loaded by wave kinematics, vessel movements, and vortex-induced vibrations, is one of the critical issues when designing floating production systems comprised of a large floating structure attached to the seabed by vertical
Publikováno v:
Volume 1B: Offshore Technology.
Dynamic analyses of slender marine structures are computationally expensive. Recently it has been shown how a hybrid method which combines FEM models and artificial neural networks (ANN) can be used to reduce the computation time spend on the time do
Publikováno v:
Volume 6A: Pipeline and Riser Technology.
A considerable challenge in deep water field developments is the possibility of Vortex Induced Vibrations (VIV) of flexible risers due to presence of high currents. The most common remedy is the use of VIV suppression devices such as helical strakes.
Publikováno v:
Journal of Applied Mathematics, Vol 2014 (2014)
J. Appl. Math.
Christiansen, N H, Voie, P E T, Winther, O & Høgsberg, J B 2014, ' Comparison of Neural Network Error Measures for Simulation of Slender Marine Structures ', Journal of Applied Mathematics, vol. 2014, 759834 . https://doi.org/10.1155/2014/759834
J. Appl. Math.
Christiansen, N H, Voie, P E T, Winther, O & Høgsberg, J B 2014, ' Comparison of Neural Network Error Measures for Simulation of Slender Marine Structures ', Journal of Applied Mathematics, vol. 2014, 759834 . https://doi.org/10.1155/2014/759834
Training of an artificial neural network (ANN) adjusts the internal weights of the network in order to minimize a predefined error measure. This error measure is given by an error function. Several different error functions are suggested in the liter