Akademik Veri Yönetim Sistemi
Measurement: Journal of the International Measurement Confederation, cilt.267, 2026 (SCI-Expanded, Scopus)
Roller-compacted concrete (RCC) pavements are used worldwide for their durability and cost-effective construction efficiency. Reliable elastic properties of as-placed, fresh-state RCC are still not well-established for mechanical modeling of compaction, mainly because undisturbed samples cannot be obtained from the mat. As a result, reported mechanical parameters are commonly inferred from granular soils with similar aggregate structures rather than measured. While the optimal roller mass and size for first-pass compaction remain debated, this study evaluates the problem mechanistically using Hertzian contact theory and nonlinear optimization to analyze the material behavior of RCC as a function of roller characteristics. A MATLAB-based optimization framework was devised to determine the elastic modulus (E) and Poisson's ratio (ν) of an elastic half-space under static roller. Two rollers, heavy (10.4 tons) and light (3.2 tons), were hypothetically considered to determine compaction efficiency. The heavy roller produces higher optimized Poisson's ratios than the light roller, which aligns with elevated lateral confinement. Compared with the light roller, the heavy roller generates 30–50% higher Hertzian contact stresses and 25–60% larger contact areas. These differences thereby lead to an increase in compacted stiffness of up to 25%. The range of optimal E-ν combinations is also found to have extended for the heavy roller. Optimized stiffness differences reached up to 82% for high-elasticity mixtures. For softer mixtures, the disparity decreases to about 44%. The results indicate that lightweight rollers do not provide an equivalent compaction level to heavy rollers and cannot be thought of as a direct surrogate in every case.