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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2019-01-01
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Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2019/19/matecconf_concern2018_04020.pdf |
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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 |
work_keys_str_mv |
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