About: Tuning of Thermal FEA Using Krylov Parametric MOR for Subsea Application

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	A dead leg is a typical subsea production system component. CFD is required to model heat transfer within the dead leg. Unfortunately its solution is time demanding and thus not suitable for fast prediction or repeated simulations. Therefore there is a need to create a thermal FEA model, mimicking the heat flows and temperatures seen in CFD cool down simulations. This paper describes the conventional way of tuning and a new automated way using parametric model order reduction (PMOR) together with an optimization algorithm. The tuned FE analyses replicate the steady state CFD parameters within a maximum error in heat flow of 6 % and 3 % using manual and PMOR method respectively. During cool down, the relative error of the tuned FEA models with respect to temperature is below 5% comparing to the CFD. In addition, the PMOR method obtained the correct FEA setup five times faster than the manually tuned FEA. A dead leg is a typical subsea production system component. CFD is required to model heat transfer within the dead leg. Unfortunately its solution is time demanding and thus not suitable for fast prediction or repeated simulations. Therefore there is a need to create a thermal FEA model, mimicking the heat flows and temperatures seen in CFD cool down simulations. This paper describes the conventional way of tuning and a new automated way using parametric model order reduction (PMOR) together with an optimization algorithm. The tuned FE analyses replicate the steady state CFD parameters within a maximum error in heat flow of 6 % and 3 % using manual and PMOR method respectively. During cool down, the relative error of the tuned FEA models with respect to temperature is below 5% comparing to the CFD. In addition, the PMOR method obtained the correct FEA setup five times faster than the manually tuned FEA. (en)
Title	Tuning of Thermal FEA Using Krylov Parametric MOR for Subsea Application Tuning of Thermal FEA Using Krylov Parametric MOR for Subsea Application (en)
skos:prefLabel	Tuning of Thermal FEA Using Krylov Parametric MOR for Subsea Application Tuning of Thermal FEA Using Krylov Parametric MOR for Subsea Application (en)
skos:notation	RIV/68407700:21220/13:00226086!RIV15-MSM-21220___
http://linked.open...avai/riv/aktivita	I
http://linked.open...avai/riv/aktivity	I
http://linked.open...iv/cisloPeriodika	77
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Šindler, Jaroslav
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta strojní
http://linked.open...dnocenehoVysledku	112021
http://linked.open...ai/riv/idVysledku	RIV/68407700:21220/13:00226086
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	CFD; convective heat; FEA; model tuning; subsea production (en)
http://linked.open.../riv/klicoveSlovo	model tuning CFD FEA convective heat subsea production
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[67917FA7720E]
http://linked.open...i/riv/nazevZdroje	World Academy of Science, engineering and Technology
http://linked.open...in/vavai/riv/obor	JQ
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Bárta, P. Šindler, Jaroslav Olsen Jelstad, T. Suleng, A.
issn	2010-376X
number of pages	8 (xsd:int)
http://localhost/t...ganizacniJednotka	21220

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