Flow analysis around Kuching Barrage by field measurement and Large Eddy Simulation turbulence model using 3D Computational Fluid Dynamics

Khairil Anuar, Nurul Izzah and Ibrahim, Saerahany Legori and Nik Hassan, Nik Mohd Kamel and Ibrahim, Izihan and Ramli, Muhammad Zahir (2025) Flow analysis around Kuching Barrage by field measurement and Large Eddy Simulation turbulence model using 3D Computational Fluid Dynamics. BORNEO JOURNAL OF SCIENCES AND TECHNOLOGY (BJoST), 7 (2). pp. 72-80. E-ISSN 2672-7439

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Abstract

This study investigates the hydrodynamic complexity of turbulent flow conditions near the Kuching Barrage in the Sarawak River using field measurements and 3D Computational Fluid Dynamics (CFD) simulations FLOW-3D. Upstream and downstream of the barrage, Acoustic Doppler Current Profilers (ADCPs) were used to collect field data, which was then incorporated into a Large Eddy Simulation (LES) model to simulate the hydrodynamic properties. Riverbed surveys and sediment sampling enabled the model's implementation. The results showed good agreement between the modeled and measured data, providing evidence of the simulation's accuracy. It was demonstrated in the study that 3D modeling is essential for resolving complex dynamics associated with flow, which cannot be adequately addressed by conventional 1D or 2D methods. To improve the validity of future studies, future measurements should be prioritized, and finer computational grids should be more implemented.

Item Type:	Article (Journal)
Uncontrolled Keywords:	ADCP,CFD modelling,LES turbulence model,Barrage,Kuching River.
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) T Technology > TC Hydraulic engineering. Ocean engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Education Kulliyyah of Engineering > Department of Civil Engineering Kulliyyah of Science Kulliyyah of Science > Institute of Oceanography and Maritime Studies
Depositing User:	Dr Muhammad Zahir Ramli
Date Deposited:	31 Jul 2025 11:15
Last Modified:	31 Jul 2025 11:15
URI:	http://irep.iium.edu.my/id/eprint/122390

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