Numerical Modelling Study of Subsurface Drainage of Permeable Friction Course Considering Road Geometric Designs

This study aimed to evaluate the subsurface drainage of a permeable friction course (PFC) via two-dimensional finite element analysis. To achieve the scope, PFCs with equivalent water flow paths of length values of 10, 15, 20, and 30 m and slope values of 0.5%, 2%, 4%, 6%, and 8% were modelled based...

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Main Authors: Thi My Dung Huynh, Van Hiep Huynh, Minh Triet Pham, Kyra Kamille A. Toledo, Tan Hung Nguyen
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/22/12428
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author Thi My Dung Huynh
Van Hiep Huynh
Minh Triet Pham
Kyra Kamille A. Toledo
Tan Hung Nguyen
author_facet Thi My Dung Huynh
Van Hiep Huynh
Minh Triet Pham
Kyra Kamille A. Toledo
Tan Hung Nguyen
author_sort Thi My Dung Huynh
collection DOAJ
description This study aimed to evaluate the subsurface drainage of a permeable friction course (PFC) via two-dimensional finite element analysis. To achieve the scope, PFCs with equivalent water flow paths of length values of 10, 15, 20, and 30 m and slope values of 0.5%, 2%, 4%, 6%, and 8% were modelled based on FEniCS and implemented entirely in Python programing language to extract the time for surface ponding according to a range of rainfall intensities. The results show that when the rainfall intensity and the length of equivalent water flow path of the PFC rose, the time for surface ponding decreased. For instance, with a rainfall intensity of 10 mm/h and a slope of 0.5%, when the length of equivalent water flow path increased by 20 m, the time for surface ponding dropped by 21 min. Moreover, when the slope of the equivalent water flow path and the thickness of the PFC increased, the time for surface ponding increased. For instance, with a rainfall intensity of 10 mm/h, and a PFC with an equivalent length of 10 m, when the slope increased by 16 times, the time for surface ponding increased more than two times. The current study highlights that the thickness of the PFC has the most influence on subsurface drainage. The findings of this study indicate that at high rainfall intensities, the subsurface drainage of a PFC is not sensitive to its geometric design. Further experimental investigations are needed to evaluate and validate the subsurface drainage of a PFC considering permeability, rutting, and environmental factors.
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spelling doaj.art-9b44795af033415680fc79f29fd841692023-11-24T14:27:44ZengMDPI AGApplied Sciences2076-34172023-11-0113221242810.3390/app132212428Numerical Modelling Study of Subsurface Drainage of Permeable Friction Course Considering Road Geometric DesignsThi My Dung Huynh0Van Hiep Huynh1Minh Triet Pham2Kyra Kamille A. Toledo3Tan Hung Nguyen4Department of Civil Engineering, School of Engineering and Technology, Tra Vinh University, Tra Vinh 87000, VietnamDepartment of Civil Engineering, School of Engineering and Technology, Tra Vinh University, Tra Vinh 87000, VietnamAkselos S.A., Ho Chi Minh City 700000, VietnamFaculty of Engineering, University of Santo Tomas, Manila 1008, PhilippinesFaculty of Civil Engineering, Can Tho University of Technology, Can Tho 900000, VietnamThis study aimed to evaluate the subsurface drainage of a permeable friction course (PFC) via two-dimensional finite element analysis. To achieve the scope, PFCs with equivalent water flow paths of length values of 10, 15, 20, and 30 m and slope values of 0.5%, 2%, 4%, 6%, and 8% were modelled based on FEniCS and implemented entirely in Python programing language to extract the time for surface ponding according to a range of rainfall intensities. The results show that when the rainfall intensity and the length of equivalent water flow path of the PFC rose, the time for surface ponding decreased. For instance, with a rainfall intensity of 10 mm/h and a slope of 0.5%, when the length of equivalent water flow path increased by 20 m, the time for surface ponding dropped by 21 min. Moreover, when the slope of the equivalent water flow path and the thickness of the PFC increased, the time for surface ponding increased. For instance, with a rainfall intensity of 10 mm/h, and a PFC with an equivalent length of 10 m, when the slope increased by 16 times, the time for surface ponding increased more than two times. The current study highlights that the thickness of the PFC has the most influence on subsurface drainage. The findings of this study indicate that at high rainfall intensities, the subsurface drainage of a PFC is not sensitive to its geometric design. Further experimental investigations are needed to evaluate and validate the subsurface drainage of a PFC considering permeability, rutting, and environmental factors.https://www.mdpi.com/2076-3417/13/22/12428subsurface drainagetime for surface pondingpermeable friction coursegeometric designPythonFEnics
spellingShingle Thi My Dung Huynh
Van Hiep Huynh
Minh Triet Pham
Kyra Kamille A. Toledo
Tan Hung Nguyen
Numerical Modelling Study of Subsurface Drainage of Permeable Friction Course Considering Road Geometric Designs
Applied Sciences
subsurface drainage
time for surface ponding
permeable friction course
geometric design
Python
FEnics
title Numerical Modelling Study of Subsurface Drainage of Permeable Friction Course Considering Road Geometric Designs
title_full Numerical Modelling Study of Subsurface Drainage of Permeable Friction Course Considering Road Geometric Designs
title_fullStr Numerical Modelling Study of Subsurface Drainage of Permeable Friction Course Considering Road Geometric Designs
title_full_unstemmed Numerical Modelling Study of Subsurface Drainage of Permeable Friction Course Considering Road Geometric Designs
title_short Numerical Modelling Study of Subsurface Drainage of Permeable Friction Course Considering Road Geometric Designs
title_sort numerical modelling study of subsurface drainage of permeable friction course considering road geometric designs
topic subsurface drainage
time for surface ponding
permeable friction course
geometric design
Python
FEnics
url https://www.mdpi.com/2076-3417/13/22/12428
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