Prediction of Pavement Maintenance Performance Using an Expert System

Abstract

The pavement experiences deterioration due to traffic and environment, i.e., unsatisfactory riding quality and structural inadequacy, over time. Thus, predicting pavement performance over time is one of the key elements of any pavement maintenance management system (PMMS). It can be used as an efficient tool to program/schedule the maintenance applications and expenditures, and thus the necessary funds can be allocated. Using a combination of independent variables for any selected pavement section can generate section-wise condition assessment and prediction models. Moreover, these models can be used to select the most cost-effective maintenance alternative to be applied to that pavement section. The present study developed an expert system based on pavement performance models which combines the available maintenance data with the knowledge acquired from the experts of the General Administration of Operation and Maintenance in Riyadh, Saudi Arabia. Eight regression models were first developed for four maintenance and rehabilitation (M&R) strategies, i.e., no maintenance, routine maintenance, overlay, and reconstruction for low and high traffic. Then, a practical expert system was developed to aid pavement maintenance engineers in finding the most effective and efficient M&R strategies and suitable time for the application. The regression models revealed that the effect of routine maintenance and reconstruction is greater in low traffic than in high traffic, while the effect of overlay is greater in high traffic than in low traffic. Based on this initial system, another improved one can be developed using the machine learning technique.

Smart Predictive Maintenance Device for Critical In-Service Motors

“…In this manner, this equipment has the most important advantage relative to other maintenance system offered by various manufacturers-its very low production price. This affordability could be exploited by any small production facility, where the acquisitions of any commercial maintenance devices is, due to financial reasons, disregarded [9,11,14].…”

“…Consequently, a non-comprehensive approach can lead to inefficient actions in terms of maintenance and diagnosis of the machine unproper functionality. Thus, the most suitable investigation could only be achieved from the integrative interpretation analysis adequately correlated with visualization of all monitored parameters [10,11]. Some other maintenance principles are based on the insulation aging detection [12] or bearing fault signaling [13].…”

Primjena upravljačkih informacijskih sustava u gospodarenju cestovnom infrastrukturom

“…AHP [7][8][9][10][11][12][13], PROMETHEE [8,[10][11][12][13], AI [9,13], i dr.), pri čemu se koriste oni koji na promatranoj razini odlučivanja i u promatranom trenutku korisniku mogu dati najbolju moguću povratnu informaciju. Cjeloviti pregled metoda koje se pritom mogu koristiti je prikazan u radovima [26][27][28], u kojima je fokus stavljen na područje graditeljstva i upravljanja projektima u području graditeljstva. Naravno, otvorenost arhitekture sustava za podršku odlučivanju poput prethodno spomenutog ili nekih drugih sustava [3,4,29], omogućava implementaciju novih modela, metoda i pristupa kojima bi se postojeći strukturirani, polustrukturirani i nestrukturirani problemi rješavali još efikasnije i efektivnije.…”

Evolution Analysis of Asphalt Pavement Performance in Its Life Cycle: Case Study in Qinghai–Tibet Highway

“…Transportation, especially highways, contributes a lot to the development of economy, society, and communities. The pavements should provide a reasonably smooth riding surface and adequate surface friction, which is normally the texture that is conducive to safety, have a sufficient structural capacity to protect the subgrade, as well as provide a waterproof function to prevent the underlying support layers from becoming saturated [5][6][7]. However, pavements gradually deteriorate under the combined effect of traffic and environmental loads.…”