Abstract

Road profile is one of the inputs for the whole life pavement performance (WLPP) model. It used to predict vehicle loading. In this study, few road profiles were generated based on sparse road roughness measurements by road scanner. The Profile Viewing, ProVAL Analysis software and Matlab were used to filter unwanted wavelength, visualize the measured road profile data, and obtain profile International Roughness Index (IRI) and generate road profile base on Power Spectral Density (PSD) approximation equation. Calibrations between generated and measured road profiles were done by computing the correlation coefficient values. As a result, few road profiles of 100 m length have been generated based on the federal and state road profiles. The generated road profiles and measured road profiles are closely in shape.

Details

Title
Road profile generation based on real road profile for the Whole life pavement performance input data
Author
Buhari, R 1 ; Seblan, A A 1 

1  PAVE-MATE, Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia (UTHM) , Parit Raja, 86400, Batu Pahat, Johor , Malaysia 
First page
012037
Publication year
2022
Publication date
May 2022
Publisher
IOP Publishing
ISSN
17551307
e-ISSN
17551315
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1088/1755-1315/1022/1/012037
ProQuest document ID
2665631242
Copyright
Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.