- Volumes 108-119 (2025)
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Volumes 96-107 (2025)
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Volume 107
Pages 1-376 (December 2025)
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Volume 106
Pages 1-336 (November 2025)
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Volume 105
Pages 1-356 (October 2025)
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Volume 104
Pages 1-332 (September 2025)
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Volume 103
Pages 1-314 (August 2025)
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Volume 102
Pages 1-276 (July 2025)
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Volume 101
Pages 1-166 (June 2025)
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Volume 100
Pages 1-256 (May 2025)
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Volume 99
Pages 1-242 (April 2025)
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Volume 98
Pages 1-288 (March 2025)
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Volume 97
Pages 1-256 (February 2025)
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Volume 96
Pages 1-340 (January 2025)
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Volume 107
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Volumes 84-95 (2024)
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Volume 95
Pages 1-392 (December 2024)
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Volume 94
Pages 1-400 (November 2024)
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Volume 93
Pages 1-376 (October 2024)
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Volume 92
Pages 1-316 (September 2024)
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Volume 91
Pages 1-378 (August 2024)
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Volume 90
Pages 1-580 (July 2024)
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Volume 89
Pages 1-278 (June 2024)
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Volume 88
Pages 1-350 (May 2024)
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Volume 87
Pages 1-338 (April 2024)
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Volume 86
Pages 1-312 (March 2024)
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Volume 85
Pages 1-334 (February 2024)
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Volume 84
Pages 1-308 (January 2024)
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Volume 95
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Volumes 72-83 (2023)
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Volume 83
Pages 1-258 (December 2023)
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Volume 82
Pages 1-204 (November 2023)
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Volume 81
Pages 1-188 (October 2023)
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Volume 80
Pages 1-202 (September 2023)
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Volume 79
Pages 1-172 (August 2023)
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Volume 78
Pages 1-146 (July 2023)
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Volume 77
Pages 1-152 (June 2023)
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Volume 76
Pages 1-176 (May 2023)
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Volume 75
Pages 1-228 (April 2023)
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Volume 74
Pages 1-200 (March 2023)
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Volume 73
Pages 1-138 (February 2023)
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Volume 72
Pages 1-144 (January 2023)
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Volume 83
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Volumes 60-71 (2022)
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Volume 71
Pages 1-108 (December 2022)
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Volume 70
Pages 1-106 (November 2022)
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Volume 69
Pages 1-122 (October 2022)
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Volume 68
Pages 1-124 (September 2022)
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Volume 67
Pages 1-102 (August 2022)
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Volume 66
Pages 1-112 (July 2022)
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Volume 65
Pages 1-138 (June 2022)
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Volume 64
Pages 1-186 (May 2022)
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Volume 63
Pages 1-124 (April 2022)
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Volume 62
Pages 1-104 (March 2022)
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Volume 61
Pages 1-120 (February 2022)
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Volume 60
Pages 1-124 (January 2022)
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Volume 71
- Volumes 54-59 (2021)
- Volumes 48-53 (2020)
- Volumes 42-47 (2019)
- Volumes 36-41 (2018)
- Volumes 30-35 (2017)
- Volumes 24-29 (2016)
- Volumes 18-23 (2015)
- Volumes 12-17 (2014)
- Volume 11 (2013)
- Volume 10 (2012)
- Volume 9 (2011)
- Volume 8 (2010)
- Volume 7 (2009)
- Volume 6 (2008)
- Volume 5 (2007)
- Volume 4 (2006)
- Volume 3 (2005)
- Volume 2 (2004)
- Volume 1 (2003)
• A hierarchical 3-tier dispersion architecture (Filling-Matrix-Skeleton) was identified in asphalt mastic by Nano-CT.
• Thermal cycling destabilizes the uniform three-tier dispersed microstructure of asphalt mastic.
• Thermal cycling triggers size-selective filler particles redistribution consistent with a reverse Brazil nut effect.
• Voronoi analysis quantifies the shift from near-uniform packing to stratified, agglomerated morphology.
• A thermal ratchet-gravity framework parameterized by oscillatory Péclet number captures stratification evolution.
Asphalt mastic is a concentrated particle-filled viscoelastic composite whose microstructure critically influences asphalt pavement mechanical behavior. Conventional models treat asphalt mastic as a homogeneous continuum, inferring thermal-fatigue behavior primarily from bulk rheology and leaving thermally driven particle dynamics and microstructural instabilities poorly quantified. In this study, accelerated thermal cycling is combined with high-resolution 3D Nano-CT and Voronoi analysis to track size-dependent filler kinematics (migration and rotation) and the evolution of packing heterogeneity. The results reveal a hierarchical three-tier dispersion architecture: Filling-Matrix-Skeleton, in which fine particles preferentially occupy and fill interstitial spaces, intermediate particles dominate the load-transfer matrix, and coarse particles constitute a load-bearing skeleton. Thermal cycling destabilizes the initially quasi-uniform dispersion, inducing size-selective redistribution consistent with the reverse Brazil nut effect (RBNE). Specifically, the coarse fraction (>30 μm) exhibits a net downward migration of 43-165 μm, while fine particles preferentially enrich the upper region. Voronoi analysis quantifies this structural degradation, revealing that the coefficient of variation for coarse-particle packing surged from 63.3% to 135.4%, marking a transition from near-uniform packing to through-thickness stratification. The resulting “coarse-bottom, fine-top” architecture comprises a load-bearing lower skeleton and a fine-rich upper crowding zone with enhanced agglomeration. These observations support a gravity-thermal ratchet competition framework for migration in highly viscous media and provide particle-scale evidence to inform durability-oriented material selection and microstructure-guided asphalt mastic design.