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
Published: 2016
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/15246/19/Prediction%20of%20road%20pavement%20damage%20for%20local%20roads%20in%20Malaysia.pdf
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spelling my-ump-ir.152462021-11-18T03:29:15Z Prediction of road pavement damage for local roads in Malaysia 2016-06 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 http://umpir.ump.edu.my/id/eprint/15246/ http://umpir.ump.edu.my/id/eprint/15246/19/Prediction%20of%20road%20pavement%20damage%20for%20local%20roads%20in%20Malaysia.pdf pdf en public phd doctoral Universiti Malaysia Pahang Faculty of Engineering Technology
institution Universiti Malaysia Pahang Al-Sultan Abdullah
collection UMPSA Institutional Repository
language English
topic HE Transportation and Communications
HE Transportation and Communications
spellingShingle HE Transportation and Communications
HE Transportation and Communications
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
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
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
granting_institution Universiti Malaysia Pahang
granting_department Faculty of Engineering Technology
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/15246/19/Prediction%20of%20road%20pavement%20damage%20for%20local%20roads%20in%20Malaysia.pdf
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