Experimental and Numerical Investigation of Hybrid River Training Works using OpenFOAM

Riddick Kakati (), Vinay Chembolu () and Subashisa Dutta ()
Additional contact information
Riddick Kakati: Indian Institute of Technology Guwahati
Vinay Chembolu: Indian Institute of Technology Jammu
Subashisa Dutta: Indian Institute of Technology Guwahati

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2022, vol. 36, issue 8, No 19, 2847-2863

Abstract: Abstract Riverbank erosion is widespread in alluvial rivers in India and elsewhere. River training works are frequently used to aid in the prevention of these losses by regulating the river and therefore protecting critical human habitats. These structures often become unstable and incapable of performing adequately during periods of heavy flooding. For the first time, the three- dimensional hydrodynamic open-source Open Field Operation and Manipulation (OpenFOAM) model is used to assess the potential of a novel hybrid river training arrangement to reduce downstream flow velocity and divert downstream flow to the opposite bank. The results indicate that for single- phase approximation, algorithms such as the Semi Implicit Method for Pressure- Linked Equations (SIMPLE) with lower computational requirements can satisfactorily reproduce flow patterns discovered in the laboratory ( $$R^2 > 0.74$$ R 2 > 0.74 ). The hybrid configuration outperforms the porcupine and geobag layouts. When compared to geobag, dual- screen porcupine, and single- screen porcupine, its downstream velocity decreases by 1.33%, 11.62%, and 13.34%, respectively. Similarly, flow diversion to the opposing bank increases by 0.49%, 0.65%, and 0.92%. Thus, the porcupine structure reduces the intensity of the incoming flow prior to it reaching the impermeable geobag in a hybrid layout. It dissipates the flow energy to the point where it can no longer scour the bed, thereby eliminating the disadvantage associated with the formation of scour holes.

Keywords: Alluvial river; Riverbank erosion; Hybrid river training works; Numerical modeling; OpenFOAM (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11269-022-03181-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:36:y:2022:i:8:d:10.1007_s11269-022-03181-6

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11269

DOI: 10.1007/s11269-022-03181-6

Access Statistics for this article

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) is currently edited by G. Tsakiris

More articles in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) from Springer, European Water Resources Association (EWRA)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().