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Reclaimed Asphalt Pavement–soil Blends for Subgrade Construction Cover

Reclaimed Asphalt Pavement–soil Blends for Subgrade Construction

Open Access
|Sep 2026

Figures & Tables

Figure 1:

Research framework illustrating the identification of the research gap, formulation of objectives, experimental methodology, performance-based evaluation framework, and engineering recommendations for RAP–soil blends

Figure 2:

Natural soil sample collected for laboratory characterization prior to index property and compaction testing

Table 1:

Soil properties

PropertyValue
Soil classification (USCS)CL (Lean Clay)
Specific gravity (Sg)2.67
Liquid limit [%]44
Plastic limit [%]23
Plasticity index [%]21
% Passing 75 µm sieve61
Sand fraction [%]28
Gravel fraction [%]11
Natural moisture content [%]12.3
Figure 3:

Reclaimed Asphalt Pavement (RAP) particles showing aged asphalt coating and granular morphology used for preparing RAP–soil mixtures.

Table 2:

RAP properties

PropertyTest standard (IS Code)Value
RAP sourceField millingFlexible pavement rehabilitation
Maximum particle size [mm]IS 2386 Part 119
Specific gravityIS 2720 Part 32.48
Asphalt binder content [%]Ignition method4.8
% Passing 75 µm sieveIS 2386 Part 17
Gradation typeSieve analysisWell-graded gravelly sand
Particle angularityVisual assessmentSub-angular to angular
Surface conditionVisual assessmentAsphalt-coated particles
Water interaction behaviourQualitativeHydrophobic tendency
Figure 4:

Atterberg limits testing procedure

Figure 5:

Particle size distribution curves of natural soil and Reclaimed Asphalt Pavement (RAP), illustrating the complementary gradation characteristics of the constituent materials

Table 3:

Mix design matrix

Mix IDRAP [%]Soil [%]Preparation details
M00100Control soil; oven-dried and moisture-conditioned
M101090Dry blending followed by moisture conditioning
M202080Uniform mixing with gradual water addition
M303070Mechanical blending to ensure homogeneity
M404060Increased RAP proportion with consistent mixing protocol
M505050Equal soil–RAP blend; controlled moisture distribution
M606040RAP-dominant mix; extended blending time
M707030High RAP content: uniform particle dispersion ensured
M808020RAP-dominated mixture; moisture adjusted carefully
Figure 6:

Standard proctor compaction apparatus used for evaluating moisture–density behaviour of RAP–soil mixtures

Figure 7:

Experimental methodology workflow for performance-based evaluation of RAP–soil mixtures

Figure 8:

Standard Proctor compaction curves showing the variation of dry density with moisture content for RAP–soil mixtures containing different RAP replacement percentages

Figure 9:

Variation of maximum dry density with increasing RAP percentage

Figure 10:.

Relationship between optimum moisture content and RAP replacement level

Table 4:

Influence of constituent material properties on the compaction behaviour of RAP–soil mixtures

PropertyNatural soilRAPInfluence on compaction behaviour
Specific gravity2.672.48Lower RAP specific gravity contributes to reduced MDD at high RAP contents
Particle shapeFine cohesive particlesAngular/sub-angularRAP increases interparticle friction and mechanical interlocking
Surface characteristicsHydrophilicAsphalt-coated(hydrophobic)RAP reduces water demand and lowers OMC
Dominant interactionCohesionFrictionGoverns transition from cohesion-controlled to friction-controlled behaviour
Packing mechanismFine matrixGranular skeletonOptimum packing occurs at intermediate RAP replacement levels
Table 5:

Compaction parameter summary

Mix IDMaximum dry density (kN/m3)Optimum moisture content (%)Trend observation
M017.617.8Control cohesive behaviour
M1017.917.1Improved packing begins
M2018.216.3Density increase continues
M3018.515.6Optimal particle interaction
M4018.714.9Peak packing efficiency
M5018.614.2Transition toward granular response
M6018.313.6Reduced cohesion observed
M7017.913.0Granular behaviour dominates
M8017.412.5Density reduction due to RAP dominance
Table 6:

Mean values and standard deviations of Maximum Dry Density (MDD) and Optimum Moisture Content (OMC) for RAP–soil mixtures

Mix IDMDD [kN/m3]SD [kN/m3]OMC [%]SD [%]
M017.60.0617.80.15
M1017.90.0517.10.13
M2018.20.0716.30.17
M3018.50.0615.60.14
M4018.70.0514.90.16
M5018.60.0714.20.18
M6018.30.0813.60.15
M7017.90.0913.00.17
M8017.40.0812.50.16
Table 7:

Mechanistic interpretation of the transition from cohesion-controlled to friction-controlled behaviour in RAP–soil mixtures and its influence on compaction characteristics

Rap content range (%)Dominant behaviourParticle interaction mechanismMDD trendOMC trendEngineering interpretation
0Cohesion-controlledClay cohesion and capillary forces dominateBaselineHighestMoisture-dependent compaction of cohesive soil
10–20Cohesion–friction transitionRAP particles fill voids while soil matrix remains continuousIncreasingSlightly decreasingImproved packing and particle rearrangement
30–40Balanced cohesion and frictionOptimum void filling and granular interlockingMaximumModerateHighest compaction efficiency and optimum packing
50–60Friction-controlled transitionReduced fine matrix and increased granular contactsSlightly decreasingLowerGranular skeleton begins to dominate behaviour
70–80Friction-controlledAngular RAP particles dominate with limited void fillingLowestLowestReduced packing efficiency due to excessive granular structure
Figure 11:

Variation of performance index with RAP content showing optimal performance range

Table 8:

International RAP Utilization Practices in Pavement Applications

CountryTypical RAP content rangePrimary applicationImplementation context
United States20–40(%)Base layers, recycled asphalt mixturesWidely adopted for cost and sustainability benefits
Germany30–50(%)Structural pavement layersStrong recycling policies and material recovery systems
Netherlands25–50(%)Base and surface recyclingEmphasis on circular economy principles
Japan30–60(%)Asphalt pavement recyclingHigh material recovery rates and controlled processing
India20–40(%)Pavement rehabilitation and base layersIncreasing adoption under IRC guidelines and sustainable infrastructure initiatives
Figure 12:

Cost ratio (CR) variation with RAP content and corresponding cost-saving behaviour

Table 9:

Comparison to the literature

ReferenceRAP Range [%]Peak density range [%]OMC reduction [%]Reported optimum RAP [%]
Gui et al. [24]0–60Increase up to ~4010–1530–40
Wang et al. [25]0–70Progressive increase to ~3512–18~35
Hamedi et al. [26]0–50Minor change15–20~30
Santos et al. [27]0–60Peak at moderate RAP10–2025–45
Uniyal et al. [29]0–80 (stabilized)Increase up to ~60<1050–60
Present Study0–80Peak at ~4025–3030–50
DOI: https://doi.org/10.2478/cee-2027-0018 | Journal eISSN: 2199-6512 (formerly 1336-5835) | Journal ISSN: 1336-5835
Language: English
Submitted on: May 16, 2026
Accepted on: Jun 14, 2026
Published on: Sep 16, 2026
Published by: University of Žilina
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Gnana Rahul Bodapati, Hanumantha Rao ChappidI, published by University of Žilina
This work is licensed under the Creative Commons Attribution 4.0 License.