Benchmark of computational hydraulics models for open-channel flow with lateral cavities

Computational models in hydro-environmental engineering are diverse in their background formulation and span from two-dimensional depth-averaged shallow water models, to complex fully three-dimensional turbulence models resolving large-eddy simulation with surface capturing techniques, and to Lagrangian particle-based methods. This paper presents a first-of-its-kind comparison of six different computational hydraulics fluid dynamics models, namely Iber+, HO-SWM, GBVC, OpenFOAM (RANS), Hydro3D (LES) and DualSPHysics (SPH), in the prediction of mean velocities and free-surface dynamics in two benchmarks involving open-channel flows with symmetric lateral cavities. Results show that shallow-water models capture relatively well the main large-scale coherent structures of the in-cavity flow, with wider shear layers compared to three-dimensional models, and higher velocities in the main channel. Three-dimensional RANS, LES and SPH yield improved predictions of mean velocities compared with experimental data. Computational cost has been quantified for all models with a logarithmic growth when increasing model complexity. The transverse standing wave is captured by most models, with the shallow-water ones matching the theoretical value, while the three-dimensional models overestimate it slightly.

Authors

Institutions

Publication Details

Journal
Journal of Hydraulic Research
Published
2024-09-02
DOI
https://doi.org/10.1080/00221686.2024.2401905
Citations
2
Primary Topic
Hydraulic flow and structures
Type
article
Field-Weighted Citation Impact
0.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Benchmark of computational hydraulics models for open-channel flow with lateral cavities

Luís Cea, Sergio Croquer, Pablo Ouro, Adrián Navas-Montilla et al.
2 citations
Journal of Hydraulic Research
Hydraulic flow and structures
0.52
article

Benchmark of computational hydraulics models for open-channel flow with lateral cavities

Luís Cea, Sergio Croquer, Pablo Ouro, Adrián Navas-Montilla, Carmelo Juez, Benedict D. Rogers, Wenhao Dong, Tatsuhiko UCHIDA, Orlando García-Feal
article en
2 citations

Abstract

Computational models in hydro-environmental engineering are diverse in their background formulation and span from two-dimensional depth-averaged shallow water models, to complex fully three-dimensional turbulence models resolving large-eddy simulation with surface capturing techniques, and to Lagrangian particle-based methods. This paper presents a first-of-its-kind comparison of six different computational hydraulics fluid dynamics models, namely Iber+, HO-SWM, GBVC, OpenFOAM (RANS), Hydro3D (LES) and DualSPHysics (SPH), in the prediction of mean velocities and free-surface dynamics in two benchmarks involving open-channel flows with symmetric lateral cavities. Results show that shallow-water models capture relatively well the main large-scale coherent structures of the in-cavity flow, with wider shear layers compared to three-dimensional models, and higher velocities in the main channel. Three-dimensional RANS, LES and SPH yield improved predictions of mean velocities compared with experimental data. Computational cost has been quantified for all models with a logarithmic growth when increasing model complexity. The transverse standing wave is captured by most models, with the shallow-water ones matching the theoretical value, while the three-dimensional models overestimate it slightly.

Journal of Hydraulic ResearchVol. 62(5)
Universidade da Coruña (ES), Hiroshima University (JP), Consejo Superior de Investigaciones Científicas (ES), Université de Sherbrooke (CA), Universidad de Zaragoza (ES), University of Manchester (GB), Instituto Pirenaico de Ecología (ES)
Innovation, Science and Economic Development Canada, University of Manchester, University of Toronto, Universidade de Vigo, Alliance de recherche numérique du Canada, European Research Council, European Regional Development Fund
Openalex Percentile: Top 36%
Hydraulic flow and structures
0.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.