Life-cycle cost analysis of rehabilitation strategies for asphalt pavements based on probabilistic models

Author(s):  
Miaomiao Zhang ◽  
Hongren Gong ◽  
Rui Xiao ◽  
Xi Jiang ◽  
Yuetan Ma ◽  
...  
Author(s):  
Erdem Coleri ◽  
Yuqi Zhang ◽  
Blaine M. Wruck

Use of reclaimed asphalt pavements (RAP) and recycled asphalt shingles (RAS) in asphalt paving, although considered as sustainable, is a practice that agencies are reluctant to employ because of the unpredictability of asphalt mixes containing recycled materials. The asphalt binder in RAP/RAS is aged and stiffened, which reduces ductility of the pavement. Consequentially, a pavement can exhibit unsatisfactory fatigue performance and have the potential for early cracking failure. Although methods exist to counteract the brittle behavior of pavements containing RAP/RAS (namely binder-grade bumping, binder-grade dumping and high binder content), they are not accounted for in mechanistic-empirical (ME) pavement design. Additionally, the cost benefits of using RAP/RAS in pavements are not easily calculated. For these reasons, characterization of fatigue performance for asphalt pavements containing RAP/RAS in ME design software needs to be accomplished and a life-cycle cost analysis (LCCA) framework for pavements containing RAP/RAS needs to be developed so that agencies can make informed decisions about RAP/RAS use in asphalt mixtures. In this study, laboratory test results for asphalt mixtures with different combinations of RAP/RAS contents, binder contents, and binder types were used to calculate ME pavement model coefficients to perform forward calculations to determine pavement performance. Using predicted performance from ME models, LCCAs were conducted to determine the cost benefits of using binder-grade bumping/dumping and high binder content in Oregon asphalt mixtures. These strategies are expected to increase RAP/RAS use in asphalt mixtures, reduce life-cycle costs, improve the cracking performance and encourage widespread use of RAP/RAS asphalt mixtures.


Author(s):  
Fengdi Guo ◽  
Jeremy Gregory ◽  
Randolph Kirchain

Life-cycle cost analysis (LCCA) is a way to evaluate the long-term cost effectiveness of different pavement designs or treatment actions. Owing to the existence of uncertainties, many probabilistic LCCA models have been proposed. They mainly use a prescribed treatment schedule or determine schedules by mechanistic-empirical analysis, potentially leading to the overestimation of life-cycle cost (LCC). In this paper, a new probabilistic simulation-optimization LCCA model is proposed. This new model determines treatment schedules by minimizing total LCC, including agency and user cost, which is different from current probabilistic models. In addition, it also incorporates uncertainties of treatment costs and deterioration processes. Two case studies are presented. The first one shows the influence of treatment schedule uncertainties on LCC distributions. After considering treatment schedule uncertainties, a tighter LCC distribution is estimated. The second case study compares the new model and a conventional prescribed-schedule model from the perspective of pavement design selection. The results show that the simulation-optimization model could lead to different preferred pavement designs than the prescribed-schedule model.


2013 ◽  
Vol 10 (12) ◽  
pp. 1638-1647 ◽  
Author(s):  
Iman Mirzadeh ◽  
Ali Azhar Butt ◽  
Susanna Toller ◽  
Björn Birgisson

2011 ◽  
Vol 4 (5) ◽  
pp. 158-161 ◽  
Author(s):  
A. Morfonios A. Morfonios ◽  
◽  
D. Kaitelidou D. Kaitelidou ◽  
G. Filntisis G. Filntisis ◽  
G. Baltopoulos G. Baltopoulos ◽  
...  

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