Prediction of road pavement damage for local roads in Malaysia

The high wheel loads of heavy trucks are a major source of pavement damage by causing fatigue, which leads to cracking and permanent deformation, which produces rutting. Malaysia, as one of the developing country has high level of road pavement damage. In addition to the cost of rehabilitating the p...

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Main Author:	Milad, Nasradeen Ali Khalifa
Format:	Thesis
Language:	English English English
Published:	2016
Subjects:	HE Transportation and Communications TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/15246/ http://umpir.ump.edu.my/id/eprint/15246/ http://umpir.ump.edu.my/id/eprint/15246/1/FTECH%20-%20NASRADEEN%20ALI%20KHALIFA%20MILAD%20-%20CD%209887.pdf http://umpir.ump.edu.my/id/eprint/15246/2/FTECH%20-%20NASRADEEN%20ALI%20KHALIFA%20MILAD%20-%20CD%209887%20-%20CHAP%201.pdf http://umpir.ump.edu.my/id/eprint/15246/3/FTECH%20-%20NASRADEEN%20ALI%20KHALIFA%20MILAD%20-%20CD%209887%20-%20CHAP%203.pdf

id	ump-15246
recordtype	eprints
spelling	ump-152462016-11-09T06:46:03Z http://umpir.ump.edu.my/id/eprint/15246/ Prediction of road pavement damage for local roads in Malaysia Milad, Nasradeen Ali Khalifa HE Transportation and Communications TA Engineering (General). Civil engineering (General) The high wheel loads of heavy trucks are a major source of pavement damage by causing fatigue, which leads to cracking and permanent deformation, which produces rutting. Malaysia, as one of the developing country has high level of road pavement damage. In addition to the cost of rehabilitating the pavement, serious safety issues occurs especially when the heavy trucks using U2/U3 roads, which not design to be use by heavy trucks. With aim to develop an analysis method and corresponding tool for local authorities to evaluate the impact of heavy trucks on local access roads, an observation was carried out to determine the characteristics of the trucks and operating conditions on local roads, from February, 2013 until July, 2014 at the Taman Kosas Utama Ampang Selangor and Taman Tas Kuantan Pahang (Malaysia). The mechanics of truck movement on the local access roads were studied to identify relationships between truck properties and road damage and to develop an appropriate method of data collection for these local roads. The WarpPLS is used as tool to develop the method and SPSS is used to examine the data and generate the model. Results indicated that regression relationships between road damage and other research factors been established with a coefficient of determination (R) at value of 0.71. 2016-06 Thesis NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15246/1/FTECH%20-%20NASRADEEN%20ALI%20KHALIFA%20MILAD%20-%20CD%209887.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/15246/2/FTECH%20-%20NASRADEEN%20ALI%20KHALIFA%20MILAD%20-%20CD%209887%20-%20CHAP%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/15246/3/FTECH%20-%20NASRADEEN%20ALI%20KHALIFA%20MILAD%20-%20CD%209887%20-%20CHAP%203.pdf Milad, Nasradeen Ali Khalifa (2016) Prediction of road pavement damage for local roads in Malaysia. PhD thesis, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:96938&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English
topic	HE Transportation and Communications TA Engineering (General). Civil engineering (General)
spellingShingle	HE Transportation and Communications TA Engineering (General). Civil engineering (General) Milad, Nasradeen Ali Khalifa Prediction of road pavement damage for local roads in Malaysia
description	The high wheel loads of heavy trucks are a major source of pavement damage by causing fatigue, which leads to cracking and permanent deformation, which produces rutting. Malaysia, as one of the developing country has high level of road pavement damage. In addition to the cost of rehabilitating the pavement, serious safety issues occurs especially when the heavy trucks using U2/U3 roads, which not design to be use by heavy trucks. With aim to develop an analysis method and corresponding tool for local authorities to evaluate the impact of heavy trucks on local access roads, an observation was carried out to determine the characteristics of the trucks and operating conditions on local roads, from February, 2013 until July, 2014 at the Taman Kosas Utama Ampang Selangor and Taman Tas Kuantan Pahang (Malaysia). The mechanics of truck movement on the local access roads were studied to identify relationships between truck properties and road damage and to develop an appropriate method of data collection for these local roads. The WarpPLS is used as tool to develop the method and SPSS is used to examine the data and generate the model. Results indicated that regression relationships between road damage and other research factors been established with a coefficient of determination (R) at value of 0.71.
format	Thesis
author	Milad, Nasradeen Ali Khalifa
author_facet	Milad, Nasradeen Ali Khalifa
author_sort	Milad, Nasradeen Ali Khalifa
title	Prediction of road pavement damage for local roads in Malaysia
title_short	Prediction of road pavement damage for local roads in Malaysia
title_full	Prediction of road pavement damage for local roads in Malaysia
title_fullStr	Prediction of road pavement damage for local roads in Malaysia
title_full_unstemmed	Prediction of road pavement damage for local roads in Malaysia
title_sort	prediction of road pavement damage for local roads in malaysia
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/15246/ http://umpir.ump.edu.my/id/eprint/15246/ http://umpir.ump.edu.my/id/eprint/15246/1/FTECH%20-%20NASRADEEN%20ALI%20KHALIFA%20MILAD%20-%20CD%209887.pdf http://umpir.ump.edu.my/id/eprint/15246/2/FTECH%20-%20NASRADEEN%20ALI%20KHALIFA%20MILAD%20-%20CD%209887%20-%20CHAP%201.pdf http://umpir.ump.edu.my/id/eprint/15246/3/FTECH%20-%20NASRADEEN%20ALI%20KHALIFA%20MILAD%20-%20CD%209887%20-%20CHAP%203.pdf
first_indexed	2023-09-18T22:19:42Z
last_indexed	2023-09-18T22:19:42Z
_version_	1777415573805727744

Prediction of road pavement damage for local roads in Malaysia

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