Comparison of drag models in shallow flow for spherical particle trajectory
Numerical models play a significant role in predicting the movement of floating debris. One significant force in predicting a floating object’s motion is the drag force. Many empirical methods of drag coefficient (CD) have emerged over the years to estimate the drag force of spherical particles. Thi...
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my.utm.1079442024-10-13T09:21:39Z http://eprints.utm.my/107944/ Comparison of drag models in shallow flow for spherical particle trajectory Wong, Lavine Jamal, Mohamad Hidayat Kasiman, Erwan Hafizi TA Engineering (General). Civil engineering (General) Numerical models play a significant role in predicting the movement of floating debris. One significant force in predicting a floating object’s motion is the drag force. Many empirical methods of drag coefficient (CD) have emerged over the years to estimate the drag force of spherical particles. This study aims to simulate different CD of spherical particle trajectory utilizing TELEMAC2D software. The simulation is compared with an Eulerian–Lagrangian one-way coupling discrete element model (DEM). A floating spherical object of radius 0.02 m and density 500 kg ms−1 was released in a steady flow of 0.4 m water depth and velocity 0.5 ms−1. The simulated trajectory of the particle within the initial five seconds agrees closely with the DEM simulation, but all six drag coefficient formulas overestimated the distance after five seconds. Therefore, different empirical drag formulas exhibit similar estimations towards the movement of floating debris, and the models’ accuracy can be improved with detailed physics of the floating object. 2023 Conference or Workshop Item PeerReviewed Wong, Lavine and Jamal, Mohamad Hidayat and Kasiman, Erwan Hafizi (2023) Comparison of drag models in shallow flow for spherical particle trajectory. In: 5th International Conference on Water Resources, ICWR 2021, 23 November 2021 - 25 November 2021, Virtual, UTM Johor Bahru, Johor, Malaysia. http://dx.doi.org/10.1007/978-981-19-5947-9_19 |
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TA Engineering (General). Civil engineering (General) Wong, Lavine Jamal, Mohamad Hidayat Kasiman, Erwan Hafizi Comparison of drag models in shallow flow for spherical particle trajectory |
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Numerical models play a significant role in predicting the movement of floating debris. One significant force in predicting a floating object’s motion is the drag force. Many empirical methods of drag coefficient (CD) have emerged over the years to estimate the drag force of spherical particles. This study aims to simulate different CD of spherical particle trajectory utilizing TELEMAC2D software. The simulation is compared with an Eulerian–Lagrangian one-way coupling discrete element model (DEM). A floating spherical object of radius 0.02 m and density 500 kg ms−1 was released in a steady flow of 0.4 m water depth and velocity 0.5 ms−1. The simulated trajectory of the particle within the initial five seconds agrees closely with the DEM simulation, but all six drag coefficient formulas overestimated the distance after five seconds. Therefore, different empirical drag formulas exhibit similar estimations towards the movement of floating debris, and the models’ accuracy can be improved with detailed physics of the floating object. |
format |
Conference or Workshop Item |
author |
Wong, Lavine Jamal, Mohamad Hidayat Kasiman, Erwan Hafizi |
author_facet |
Wong, Lavine Jamal, Mohamad Hidayat Kasiman, Erwan Hafizi |
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Wong, Lavine |
title |
Comparison of drag models in shallow flow for spherical particle trajectory |
title_short |
Comparison of drag models in shallow flow for spherical particle trajectory |
title_full |
Comparison of drag models in shallow flow for spherical particle trajectory |
title_fullStr |
Comparison of drag models in shallow flow for spherical particle trajectory |
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Comparison of drag models in shallow flow for spherical particle trajectory |
title_sort |
comparison of drag models in shallow flow for spherical particle trajectory |
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2023 |
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http://eprints.utm.my/107944/ http://dx.doi.org/10.1007/978-981-19-5947-9_19 |
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