Developing a Mathematical Model to Evaluate Asphalt Pavement Condition for Libyan Roads
ELMUSTAFA. FARAJ. ALI. ELAWKALI;
Abstract
Pavement evaluation is an essential step for pavement preservation, and it is an integral part of the pavement management system. Any country must have an approved indicator to evaluate the pavement condition and know the maintenance procedures to be followed.
In Libya, there is no method to evaluate the pavement. Therefore there is no pavement condition data in the competent authority. Therefore, the researcher suggests a technique for evaluating the flexible pavement in Libya.
This study used indices of pavements evaluation such as Pavement Condition Index (PCI), International Roughness Index (IRI) and Present Serviceability Index (PSI) and investigated their correlation with the Libyan Road Users’ Opinion (LRUO), which was obtained from the questionnaire.
The study area consists of 10 samples of Libyan road with a total length of 41 km, and the methodology includes identification of study area, pavement distress data collection, questionnaire, measuring IRI, calculating PSI, calculating PCI, as well as knowing the relationship between the user's opinion, and the different methods of evaluation.
The SPSS and Microsoft Excel programs were used to analyse, tabulate the data, draw charts (graphs), build models and find relationships. The modelling procedure used in the analysis was based on statistical linear regression.
In Libya, there is no method to evaluate the pavement. Therefore there is no pavement condition data in the competent authority. Therefore, the researcher suggests a technique for evaluating the flexible pavement in Libya.
This study used indices of pavements evaluation such as Pavement Condition Index (PCI), International Roughness Index (IRI) and Present Serviceability Index (PSI) and investigated their correlation with the Libyan Road Users’ Opinion (LRUO), which was obtained from the questionnaire.
The study area consists of 10 samples of Libyan road with a total length of 41 km, and the methodology includes identification of study area, pavement distress data collection, questionnaire, measuring IRI, calculating PSI, calculating PCI, as well as knowing the relationship between the user's opinion, and the different methods of evaluation.
The SPSS and Microsoft Excel programs were used to analyse, tabulate the data, draw charts (graphs), build models and find relationships. The modelling procedure used in the analysis was based on statistical linear regression.
Other data
| Title | Developing a Mathematical Model to Evaluate Asphalt Pavement Condition for Libyan Roads | Other Titles | تطوير نموذج رياضي لتقييم حالة الرصف الاسفلتي للطرق الليبية | Authors | ELMUSTAFA. FARAJ. ALI. ELAWKALI | Issue Date | 2021 |
Attached Files
| File | Size | Format | |
|---|---|---|---|
| BB11728.pdf | 845.54 kB | Adobe PDF | View/Open |
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