Simulation of urban flooding using 3D computational fluid dynamics with turbulence model

An alarming increase in the frequency of extreme rainfall events necessitates advanced flood risk reduction methods. This study uses ANSYS Fluent to simulate the 'Model urban city' flow experiment, comparing aligned and staggered urban layouts. The simulation's goodness of fit, evalua...

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Main Authors: Muhammad Waqar Saleem, Muhammad Rashid, Sajjad Haider, Mohiq Khalid, Amro Elfeki
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Results in Engineering
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Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024018528
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author Muhammad Waqar Saleem
Muhammad Rashid
Sajjad Haider
Mohiq Khalid
Amro Elfeki
author_facet Muhammad Waqar Saleem
Muhammad Rashid
Sajjad Haider
Mohiq Khalid
Amro Elfeki
author_sort Muhammad Waqar Saleem
collection DOAJ
description An alarming increase in the frequency of extreme rainfall events necessitates advanced flood risk reduction methods. This study uses ANSYS Fluent to simulate the 'Model urban city' flow experiment, comparing aligned and staggered urban layouts. The simulation's goodness of fit, evaluated by flow depth at probe locations, achieved a Nash-Sutcliffe Efficiency (NSE) of 0.83, indicating a 'very good' performance. Sensitivity Analysis (SA) indicated that increasing grid coarseness from 1.7 million to 0.1 million cells raised the Root Mean Square Error (RMSE) by 15 %. This Research also assessed different mesh treatments for building incorporation in the computational mesh-building hole (BH) and Building Block (BB). The BH method was computationally more efficient, taking about 1 Day compared to 2–3 days for BB. The Building Resistance (BR) method yielded poor results. Employing a sophisticated 3D CFD model, this study provides detailed inputs for high-precision flood risk assessments in urban areas prone to rapid flooding, enhancing the precision and applicability of urban flood models.
format Article
id doaj-art-cde17f68f05b4d7aa64a56b65e4edb8a
institution Kabale University
issn 2590-1230
language English
publishDate 2025-03-01
publisher Elsevier
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series Results in Engineering
spelling doaj-art-cde17f68f05b4d7aa64a56b65e4edb8a2024-12-15T06:16:35ZengElsevierResults in Engineering2590-12302025-03-0125103609Simulation of urban flooding using 3D computational fluid dynamics with turbulence modelMuhammad Waqar Saleem0Muhammad Rashid1Sajjad Haider2Mohiq Khalid3Amro Elfeki4School of Civil and Environmental Engineering (SCEE), NUST Institute of Civil Engineering (NICE), National University of Sciences and Technology (NUST), Sector H-12, Islamabad 44000, Pakistan; Corresponding author.School of Civil and Environmental Engineering (SCEE), NUST Institute of Civil Engineering (NICE), National University of Sciences and Technology (NUST), Sector H-12, Islamabad 44000, PakistanSchool of Civil and Environmental Engineering (SCEE), NUST Institute of Civil Engineering (NICE), National University of Sciences and Technology (NUST), Sector H-12, Islamabad 44000, PakistanDepartment of Civil Engineering, NFC Institute of Engineering & Fertilizer Research (IE&FR), Faisalabad 38090, PakistanDepartment of Water Resources, Faculty of Environmental Sciences, King Abdulaziz University 21589 Jeddah, Saudi Arabia; Irrigation and Hydraulics Department, Faculty of Engineering, Mansoura University, Mansoura 35516, EgyptAn alarming increase in the frequency of extreme rainfall events necessitates advanced flood risk reduction methods. This study uses ANSYS Fluent to simulate the 'Model urban city' flow experiment, comparing aligned and staggered urban layouts. The simulation's goodness of fit, evaluated by flow depth at probe locations, achieved a Nash-Sutcliffe Efficiency (NSE) of 0.83, indicating a 'very good' performance. Sensitivity Analysis (SA) indicated that increasing grid coarseness from 1.7 million to 0.1 million cells raised the Root Mean Square Error (RMSE) by 15 %. This Research also assessed different mesh treatments for building incorporation in the computational mesh-building hole (BH) and Building Block (BB). The BH method was computationally more efficient, taking about 1 Day compared to 2–3 days for BB. The Building Resistance (BR) method yielded poor results. Employing a sophisticated 3D CFD model, this study provides detailed inputs for high-precision flood risk assessments in urban areas prone to rapid flooding, enhancing the precision and applicability of urban flood models.http://www.sciencedirect.com/science/article/pii/S2590123024018528ANSYSNumerical simulationComputational fluid dynamics (CFD)Urban flooding3D flood inundation modelingFlash flood experiment
spellingShingle Muhammad Waqar Saleem
Muhammad Rashid
Sajjad Haider
Mohiq Khalid
Amro Elfeki
Simulation of urban flooding using 3D computational fluid dynamics with turbulence model
Results in Engineering
ANSYS
Numerical simulation
Computational fluid dynamics (CFD)
Urban flooding
3D flood inundation modeling
Flash flood experiment
title Simulation of urban flooding using 3D computational fluid dynamics with turbulence model
title_full Simulation of urban flooding using 3D computational fluid dynamics with turbulence model
title_fullStr Simulation of urban flooding using 3D computational fluid dynamics with turbulence model
title_full_unstemmed Simulation of urban flooding using 3D computational fluid dynamics with turbulence model
title_short Simulation of urban flooding using 3D computational fluid dynamics with turbulence model
title_sort simulation of urban flooding using 3d computational fluid dynamics with turbulence model
topic ANSYS
Numerical simulation
Computational fluid dynamics (CFD)
Urban flooding
3D flood inundation modeling
Flash flood experiment
url http://www.sciencedirect.com/science/article/pii/S2590123024018528
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AT muhammadrashid simulationofurbanfloodingusing3dcomputationalfluiddynamicswithturbulencemodel
AT sajjadhaider simulationofurbanfloodingusing3dcomputationalfluiddynamicswithturbulencemodel
AT mohiqkhalid simulationofurbanfloodingusing3dcomputationalfluiddynamicswithturbulencemodel
AT amroelfeki simulationofurbanfloodingusing3dcomputationalfluiddynamicswithturbulencemodel