CFD Modelling of Particle-Driven Gravity Currents in Reservoirs
Reservoir sedimentation results in ongoing loss of storage capacity all around the world. Thus, effective sediment management in reservoirs is becoming an increasingly important task requiring detailed process understanding. Computational fluid dynamics modelling can provide an efficient means to st...
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doaj-2b7c05f3ae434ccb9edc18387ce58f4d2020-11-25T02:53:56ZengMDPI AGWater2073-44412020-05-01121403140310.3390/w12051403CFD Modelling of Particle-Driven Gravity Currents in ReservoirsDaniel Wildt0Christoph Hauer1Helmut Habersack2Michael Tritthart3Christian Doppler Laboratory for Sediment Research and Management, University of Natural Resources and Life Sciences Vienna, Muthgasse 107, 1190 Vienna, AustriaChristian Doppler Laboratory for Sediment Research and Management, University of Natural Resources and Life Sciences Vienna, Muthgasse 107, 1190 Vienna, AustriaInstitute of Hydraulic Engineering and River Research, Department of Water–Atmosphere–Environment, University of Natural Resources and Life Sciences Vienna, Muthgasse 107, 1190 Vienna, AustriaChristian Doppler Laboratory for Sediment Research and Management, University of Natural Resources and Life Sciences Vienna, Muthgasse 107, 1190 Vienna, AustriaReservoir sedimentation results in ongoing loss of storage capacity all around the world. Thus, effective sediment management in reservoirs is becoming an increasingly important task requiring detailed process understanding. Computational fluid dynamics modelling can provide an efficient means to study relevant processes. An existing in-house hydrodynamic code has been extended to model particle-driven gravity currents. This has been realised through a buoyancy term which was added as a source term to the momentum equation. The model was successfully verified and validated using literature data of lock exchange experiments. In addition, the capability of the model to optimize venting of turbidity currents as an efficient sediment management strategy for reservoirs was tested. The results show that the concentration field during venting agrees well with observations from laboratory experiments documented in literature. The relevance of particle-driven gravity currents for the flow field in reservoirs is shown by comparing results of simulations with and without buoyant forces included into the model. The accuracy of the model in the area of the bottom outlet can possibly be improved through the implementation of a non-upwind scheme for the advection of velocity.https://www.mdpi.com/2073-4441/12/5/1403turbidity currentssedimentreservoirventingcomputational fluid dynamics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Daniel Wildt Christoph Hauer Helmut Habersack Michael Tritthart |
spellingShingle |
Daniel Wildt Christoph Hauer Helmut Habersack Michael Tritthart CFD Modelling of Particle-Driven Gravity Currents in Reservoirs Water turbidity currents sediment reservoir venting computational fluid dynamics |
author_facet |
Daniel Wildt Christoph Hauer Helmut Habersack Michael Tritthart |
author_sort |
Daniel Wildt |
title |
CFD Modelling of Particle-Driven Gravity Currents in Reservoirs |
title_short |
CFD Modelling of Particle-Driven Gravity Currents in Reservoirs |
title_full |
CFD Modelling of Particle-Driven Gravity Currents in Reservoirs |
title_fullStr |
CFD Modelling of Particle-Driven Gravity Currents in Reservoirs |
title_full_unstemmed |
CFD Modelling of Particle-Driven Gravity Currents in Reservoirs |
title_sort |
cfd modelling of particle-driven gravity currents in reservoirs |
publisher |
MDPI AG |
series |
Water |
issn |
2073-4441 |
publishDate |
2020-05-01 |
description |
Reservoir sedimentation results in ongoing loss of storage capacity all around the world. Thus, effective sediment management in reservoirs is becoming an increasingly important task requiring detailed process understanding. Computational fluid dynamics modelling can provide an efficient means to study relevant processes. An existing in-house hydrodynamic code has been extended to model particle-driven gravity currents. This has been realised through a buoyancy term which was added as a source term to the momentum equation. The model was successfully verified and validated using literature data of lock exchange experiments. In addition, the capability of the model to optimize venting of turbidity currents as an efficient sediment management strategy for reservoirs was tested. The results show that the concentration field during venting agrees well with observations from laboratory experiments documented in literature. The relevance of particle-driven gravity currents for the flow field in reservoirs is shown by comparing results of simulations with and without buoyant forces included into the model. The accuracy of the model in the area of the bottom outlet can possibly be improved through the implementation of a non-upwind scheme for the advection of velocity. |
topic |
turbidity currents sediment reservoir venting computational fluid dynamics |
url |
https://www.mdpi.com/2073-4441/12/5/1403 |
work_keys_str_mv |
AT danielwildt cfdmodellingofparticledrivengravitycurrentsinreservoirs AT christophhauer cfdmodellingofparticledrivengravitycurrentsinreservoirs AT helmuthabersack cfdmodellingofparticledrivengravitycurrentsinreservoirs AT michaeltritthart cfdmodellingofparticledrivengravitycurrentsinreservoirs |
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1724723599243214848 |