PERFORMANCE MODELING OF SAUDI ARAMCO ROADS NETWORK
Hamad I.Al-Abdul wahhab, هشام عبد الغني بن سعيد قطان
كلية الهندسة-جامعة الملك فهد للبترول والمعادن · السعودية
Saudi Aramco Oil Company is a major oil company in the Kingdom of Saudi Arabia. Saudi Aramco roads network consists of 8,500 standard lane km of flexible pavement. Pavement condition prediction models can greatly improve the capabilities of Saudi Aramco Pavement Maintenance Management System (PMMS) and allow Saudi Aramco officials to predict the condition of the network, thus predicting the timing of the maintenance activities and estimating the short- and long-range funding requirements. This research aimed to develop performance models for Saudi Aramco roads network utilizing the pavement condition data gathered since 1998. In this study, four models were developed and validated for the network with good precision and coefficient of determination where pavement age is the most significant factor that affects pavement performance indices. The new prediction models indicate that Saudi Aramco roads network deteriorate faster compared to the old prediction models, based on real pavement performance in the past ten years. Accordingly, preventive maintenance should be done at an early stage to maintain an acceptable level of service of the network.