FVCOM model simulation of local scouring around bridge pile

Scouring is one of many damages that water can cause. Scouring can occur as a consequence of bridge pile existence. The problem on local scour around single pier will be studied by using FVCOM numerical model. This study objective is to find out how accurate FVCOM model to predict local scour behavi...

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Main Authors: Herdiansyah Sony, Kardana Natakusumah Dantje, Harlan Dhemi
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:MATEC Web of Conferences
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2019/19/matecconf_concern2018_04020.pdf
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spelling doaj-5f3fd8e255174905bc868832ca7055d62021-02-02T07:47:27ZengEDP SciencesMATEC Web of Conferences2261-236X2019-01-012700402010.1051/matecconf/201927004020matecconf_concern2018_04020FVCOM model simulation of local scouring around bridge pileHerdiansyah SonyKardana Natakusumah DantjeHarlan DhemiScouring is one of many damages that water can cause. Scouring can occur as a consequence of bridge pile existence. The problem on local scour around single pier will be studied by using FVCOM numerical model. This study objective is to find out how accurate FVCOM model to predict local scour behavior. FVCOM model is based on the finite volume method to solve Navier Stokes, Meyer Peter Muller, and Exner equations. FVCOM computed numerical result then will be verified with computed and measured data in previous numerical (FSUM model) and experimental study. Results from this study show FVCOM model were successfully simulated typical features of local scour around piers such as downflow and wake vortex, but failed to simulate horseshoe vortex. Both computed numerical (FSUM and FVCOM) results are then compared with measured experimental data for its magnitude and time-series of maximum scour depth. FVCOM result shows value 0.99 r-squared correlation and 5.96 percent average error, and FSUM result shows value 0.98 r-squared correlation and 6.82 percent average error. Therefore, it can be deduced that FVCOM successfully predict local scour depth and its time-series and proven that FVCOM is more accurate than FSUM model.https://www.matec-conferences.org/articles/matecconf/pdf/2019/19/matecconf_concern2018_04020.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Herdiansyah Sony
Kardana Natakusumah Dantje
Harlan Dhemi
spellingShingle Herdiansyah Sony
Kardana Natakusumah Dantje
Harlan Dhemi
FVCOM model simulation of local scouring around bridge pile
MATEC Web of Conferences
author_facet Herdiansyah Sony
Kardana Natakusumah Dantje
Harlan Dhemi
author_sort Herdiansyah Sony
title FVCOM model simulation of local scouring around bridge pile
title_short FVCOM model simulation of local scouring around bridge pile
title_full FVCOM model simulation of local scouring around bridge pile
title_fullStr FVCOM model simulation of local scouring around bridge pile
title_full_unstemmed FVCOM model simulation of local scouring around bridge pile
title_sort fvcom model simulation of local scouring around bridge pile
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2019-01-01
description Scouring is one of many damages that water can cause. Scouring can occur as a consequence of bridge pile existence. The problem on local scour around single pier will be studied by using FVCOM numerical model. This study objective is to find out how accurate FVCOM model to predict local scour behavior. FVCOM model is based on the finite volume method to solve Navier Stokes, Meyer Peter Muller, and Exner equations. FVCOM computed numerical result then will be verified with computed and measured data in previous numerical (FSUM model) and experimental study. Results from this study show FVCOM model were successfully simulated typical features of local scour around piers such as downflow and wake vortex, but failed to simulate horseshoe vortex. Both computed numerical (FSUM and FVCOM) results are then compared with measured experimental data for its magnitude and time-series of maximum scour depth. FVCOM result shows value 0.99 r-squared correlation and 5.96 percent average error, and FSUM result shows value 0.98 r-squared correlation and 6.82 percent average error. Therefore, it can be deduced that FVCOM successfully predict local scour depth and its time-series and proven that FVCOM is more accurate than FSUM model.
url https://www.matec-conferences.org/articles/matecconf/pdf/2019/19/matecconf_concern2018_04020.pdf
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