Experimental and Numerical Modeling of Seepage in Trapezoidal Channels

Accurately estimating seepage losses from unlined and lined trapezoidal channels is essential for effective water management, especially in water-scarce regions. This study combined experimental and numerical approaches to evaluate seepage losses, focusing on the influence of channel geometry and liner properties, including hydraulic conductivity (KL) and thickness (tL). Firstly, a physical model was constructed, the materials were prepared, and testing procedures were performed to estimate the hydraulic conductivity of the soil and cement mixture. Secondly, five-channel geometries were adjusted in the physical model for unlined and lined experiments. Finally, the Slide2 model results were compared with the experimental data. Results revealed that the Slide2 numerical model accurately estimated seepage losses from unlined and lined trapezoidal channels compared to the physical model with a high determination coefficient (R2) of 0.99 and 0.99 and low root-mean-squared-error (RMSE) values of 2.85 and 0.03 cm3 s-1, respectively. For unlined channels, the seepage losses increased with larger bed width-to-water depth ratios due to the extended wetted perimeter. For lined channels, lining was ineffective when KL exceeded 0.01, while a 0.05 increase in tL reduced seepage losses by 15%. Furthermore, design charts and equations were developed to estimate the seepage losses from unlined and lined channels considering channel dimensions, liner hydraulic conductivity, and thickness.

Authors

Institutions

Publication Details

Journal
Knowledge-Based Engineering and Sciences
Published
2024-12-31
DOI
https://doi.org/10.51526/kbes.2024.5.3.43-60
Citations
15
Primary Topic
Soil and Unsaturated Flow
Type
article
Field-Weighted Citation Impact
3.91
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental and Numerical Modeling of Seepage in Trapezoidal Channels

Mohamed Kamel Elshaarawy, Nanes Hassanin Elmasry
15 citations
Knowledge-Based Engineering and Sciences
Soil and Unsaturated Flow
3.91
article

Experimental and Numerical Modeling of Seepage in Trapezoidal Channels

Mohamed Kamel Elshaarawy, Nanes Hassanin Elmasry
article en
15 citations

Abstract

Accurately estimating seepage losses from unlined and lined trapezoidal channels is essential for effective water management, especially in water-scarce regions. This study combined experimental and numerical approaches to evaluate seepage losses, focusing on the influence of channel geometry and liner properties, including hydraulic conductivity (KL) and thickness (tL). Firstly, a physical model was constructed, the materials were prepared, and testing procedures were performed to estimate the hydraulic conductivity of the soil and cement mixture. Secondly, five-channel geometries were adjusted in the physical model for unlined and lined experiments. Finally, the Slide2 model results were compared with the experimental data. Results revealed that the Slide2 numerical model accurately estimated seepage losses from unlined and lined trapezoidal channels compared to the physical model with a high determination coefficient (R2) of 0.99 and 0.99 and low root-mean-squared-error (RMSE) values of 2.85 and 0.03 cm3 s-1, respectively. For unlined channels, the seepage losses increased with larger bed width-to-water depth ratios due to the extended wetted perimeter. For lined channels, lining was ineffective when KL exceeded 0.01, while a 0.05 increase in tL reduced seepage losses by 15%. Furthermore, design charts and equations were developed to estimate the seepage losses from unlined and lined channels considering channel dimensions, liner hydraulic conductivity, and thickness.

Knowledge-Based Engineering and SciencesVol. 5(3)
Damietta University (EG)
Clean water and sanitation
Openalex Percentile: Top 6%
Soil and Unsaturated Flow
3.91
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.