Abstract
Limited supplies of natural aggregates for highway construction, in addition to increasing processing costs, time, and environmental concerns, have led to the use of various reclaimed/recycled materials. Reclaimed asphalt pavement (RAP) and recycled concrete aggregate (RCA) have prospective uses in substantial amounts in base and subbase layers of flexible pavement in order to overcome the increasing issue of a shortage of natural aggregates. This research presents the development of an empirical model for the estimation of resilient modulus value (MR) on the basis of CBR values using experimental results obtained for 52 remoulded granular samples containing natural aggregates, RCA, and RAP samples. Statistical analysis of the suggested model shows promising results in terms of its strength and significance whent-test was applied. Additionally, experimental results also show thatMRvalue increases in conjunction with an increase in RAP contents, while the trend for the CBR value is the opposite. Statistical analysis of simulation results using PerRoad and KenPave demonstrates that addition of RAP contents in the subbase layer of flexible pavements significantly improves its performance when considering resistance against rutting and fatigue. However, results of repeated load triaxial tests show that residual accumulative strain under a certain range of loading conditions increases substantially due to the addition of RAP materials, which may be disadvantageous to the serviceable life of the whole pavement structure.
Highlights
Limited supplies of natural aggregates for highway construction, in addition to increasing processing costs, time, and environmental concerns, have led to the use of various reclaimed/recycled materials
Reclaimed asphalt pavement (RAP) and recycled concrete aggregate (RCA) have prospective uses in substantial amounts in base and subbase layers of flexible pavement in order to overcome the increasing issue of a shortage of natural aggregates. is research presents the development of an empirical model for the estimation of resilient modulus value (MR) on the basis of California bearing ratio” (CBR) values using experimental results obtained for 52 remoulded granular samples containing natural aggregates, RCA, and RAP samples
Reclaimed asphalt pavement (RAP) [3, 4] and recycled concrete aggregate (RCA) [5,6,7] have been reported as the most commonly recycled materials used in different layers of flexible pavements, while use of recycled bricks [8], recycled glass [9,10,11], and fly ash [12] has been documented by many researchers and institutions
Summary
Regression models for the prediction of MR value for granular material can be categorically divided into four types: Class I. In this category, the models are based on single strength or stiffness parameter of soil such as (i) CBR values [22,23,24,25,26];. In this approach, resilient modulus value for a certain soil is obtained by considering a certain type of stress invariant or set of stress invariants, for instance,. (v) Atmospheric pressure, octahedral normal stress, and octahedral shear stress [44] In this category, the model parameters are given simple numerical values.
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