A Digital Twin of River Experiment Infrastructure Based on a 3D Game Engine and Validation of Water Flow with a Real-Scale Experiment

Reproducing the fluid dynamics of rivers is a challenging task that involves considering various factors such as water level and flow velocity. Although numerical modeling research has been performed in this field, the intricacy of establishing these models can vary considerably based on the numerical techniques applied. Hence, this study aims to validate the effectiveness of fluid flow reproduction technology based on game engines, highlighting its real-time performance. In particular, a prototype of the digital twin (DT) of the River Experiment Center, a full-scale hydraulic experimental facility, was constructed using the Unreal Engine 5 game engine, emphasizing visibility and real-time reproduction. Fluid Flux, based on shallow-water equations and 2D height fields, was utilized to reproduce flow results, and a comparative validation was conducted using the experimental data obtained from full-scale empirical tests. The findings validated the practicality of replicating real flow patterns, even with a simplified fluid simulation aimed at reproducibility and real-time efficiency. However, specific factors must be considered for public usage such as managing rivers and urban floods. The results indicate that graphics-based flow reproduction technology can more easily integrate with other fields. Moreover, the ability to reproduce events in real time and employ visual effects is essential for efficient disaster response.

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Publication Details

Journal
Applied Sciences
Published
2025-11-25
DOI
https://doi.org/10.3390/app152312507
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

A Digital Twin of River Experiment Infrastructure Based on a 3D Game Engine and Validation of Water Flow with a Real-Scale Experiment

Eun-Kyung Jang, Woochul Kang
Applied Sciences
Flood Risk Assessment and Management
article

A Digital Twin of River Experiment Infrastructure Based on a 3D Game Engine and Validation of Water Flow with a Real-Scale Experiment

Eun-Kyung Jang, Woochul Kang
article en

Abstract

Reproducing the fluid dynamics of rivers is a challenging task that involves considering various factors such as water level and flow velocity. Although numerical modeling research has been performed in this field, the intricacy of establishing these models can vary considerably based on the numerical techniques applied. Hence, this study aims to validate the effectiveness of fluid flow reproduction technology based on game engines, highlighting its real-time performance. In particular, a prototype of the digital twin (DT) of the River Experiment Center, a full-scale hydraulic experimental facility, was constructed using the Unreal Engine 5 game engine, emphasizing visibility and real-time reproduction. Fluid Flux, based on shallow-water equations and 2D height fields, was utilized to reproduce flow results, and a comparative validation was conducted using the experimental data obtained from full-scale empirical tests. The findings validated the practicality of replicating real flow patterns, even with a simplified fluid simulation aimed at reproducibility and real-time efficiency. However, specific factors must be considered for public usage such as managing rivers and urban floods. The results indicate that graphics-based flow reproduction technology can more easily integrate with other fields. Moreover, the ability to reproduce events in real time and employ visual effects is essential for efficient disaster response.

Applied SciencesVol. 15(23)
Kongju National University (KR), Korea Institute of Civil Engineering and Building Technology (KR)
National Research Foundation, Ministry of Environment, Korea Institute of Construction Technology, National Research Foundation of Korea, Ministry of Education, India, Ministry of Science and ICT, South Korea, Korea Environmental Industry and Technology Institute
Openalex Percentile: Top 66%
Flood Risk Assessment and Management
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