Aggregate and disaggregate statistical evaluation of the performance-based effectiveness of long-term pavement performance specific pavement study-5 (LTPP SPS-5) flexible pavement rehabilitation treatments

Abstract

Engineers continually seek effective techniques for preserving highway infrastructure. Using data from the specific pavement study#5 of the long-term pavement performance (LTPP) programme's western region, this article evaluated the performance of eight flexible pavement rehabilitation treatments. Aggregate and disaggregate posttreatment performance models were developed for each treatment. Effectiveness was measured in the short term (roughness reduction) and long term (estimated treatment service life and area bounded by the performance curve (ABP)). The results showed that compared to 2-inch treatments, 5-inch treatments were on average more effective in terms of the following measures: 47% (estimated service life) and 35% (ABP) depending on the level of surface preparation, mix type and initial pavement condition. Also, relative to minimal surface preparation, intensive surface preparation generally yielded greater effectiveness: 25% (estimated service life) and 49% (ABP) depending on added thickness, mix type and initial pavement condition. Compared to recycled mix treatments, virgin mix was marginally more effective. Finally, compared to pavements treated in poor condition, those treated in good condition were significantly more effective. Treatment effectiveness models were developed for predicting the expected effectiveness of future treatments on the basis of attributes such as treatment type, added layer thickness, level of surface preparation and mix type.

Research Trends in Pavement Management during the First Years of the 21st Century: A Bibliometric Analysis during the 2000–2013 Period

“…Feed forward neural networks modeling method was used to forecast gravel loss in gravel roads in Botswana [132]. Flexible pavement rehabilitation treatments have been evaluated by means of aggregate and disaggregate post treatment performance models [133]. In case of limited or incomplete data, an autoregression method [134] or a hybrid technique [99] were suggested.…”

Highway-user fees for overweight trucks: Consequences of deviations from the fourth-power law

“…INDOT collects data on IRI, Pavement Condition Rating (PCR), friction, and rutting. For this study, IRI was used as the performance indicator because (1) it closely correlates with the road-user perception of pavement condition, and (2) the data are relatively easy to collect and are used worldwide for highway repair decisions (Peterson, 1985;Ahmed et al, 2013a). Despite these advantages, the reliability of IRI data collected using automated techniques remains questionable.…”

Development of pavement performance prediction model for bituminous hot mix asphalt on interurban road networks

“…Bu bağlamda, yapılan çalışmalar arasında çok sayıda bağımsız değişken arasındaki ilişkinin modellenmesinde kolaylık sağlayan MARS tekniğinin de kullanıldığı dikkat çekmektedir [26]. Öte yandan, üstyapı performans indeksinin tahmin edilmesinde doğrusal veya doğrusal olmayan regresyon yaklaşımlarının kullanıldığı da yapılan çalışmalardan anlaşılmaktadır [27]- [29].…”