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Numerical modeling of rapidly varying flows using HEC-RAS and WSPG models
The performance of two popular hydraulic models (HEC-RAS and WSPG) for modeling hydraulic jump in an open channel is investigated. The numerical solutions are compared with a new experimental data set obtained for varying channel bottom slopes and flow rates. Both the models satisfactorily predict t...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4899399/ https://www.ncbi.nlm.nih.gov/pubmed/27350903 http://dx.doi.org/10.1186/s40064-016-2199-0 |
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author | Rao, Prasada Hromadka, Theodore V. |
author_facet | Rao, Prasada Hromadka, Theodore V. |
author_sort | Rao, Prasada |
collection | PubMed |
description | The performance of two popular hydraulic models (HEC-RAS and WSPG) for modeling hydraulic jump in an open channel is investigated. The numerical solutions are compared with a new experimental data set obtained for varying channel bottom slopes and flow rates. Both the models satisfactorily predict the flow depths and location of the jump. The end results indicate that the numerical models output is sensitive to the value of chosen roughness coefficient. For this application, WSPG model is easier to implement with few input variables. |
format | Online Article Text |
id | pubmed-4899399 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-48993992016-06-27 Numerical modeling of rapidly varying flows using HEC-RAS and WSPG models Rao, Prasada Hromadka, Theodore V. Springerplus Technical Note The performance of two popular hydraulic models (HEC-RAS and WSPG) for modeling hydraulic jump in an open channel is investigated. The numerical solutions are compared with a new experimental data set obtained for varying channel bottom slopes and flow rates. Both the models satisfactorily predict the flow depths and location of the jump. The end results indicate that the numerical models output is sensitive to the value of chosen roughness coefficient. For this application, WSPG model is easier to implement with few input variables. Springer International Publishing 2016-05-20 /pmc/articles/PMC4899399/ /pubmed/27350903 http://dx.doi.org/10.1186/s40064-016-2199-0 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Technical Note Rao, Prasada Hromadka, Theodore V. Numerical modeling of rapidly varying flows using HEC-RAS and WSPG models |
title | Numerical modeling of rapidly varying flows using HEC-RAS and WSPG models |
title_full | Numerical modeling of rapidly varying flows using HEC-RAS and WSPG models |
title_fullStr | Numerical modeling of rapidly varying flows using HEC-RAS and WSPG models |
title_full_unstemmed | Numerical modeling of rapidly varying flows using HEC-RAS and WSPG models |
title_short | Numerical modeling of rapidly varying flows using HEC-RAS and WSPG models |
title_sort | numerical modeling of rapidly varying flows using hec-ras and wspg models |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4899399/ https://www.ncbi.nlm.nih.gov/pubmed/27350903 http://dx.doi.org/10.1186/s40064-016-2199-0 |
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