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This research aims to assess how seasonal temperature changes impact asphalt modulus and pavement reliability in varied climates across Brazil.

Reliability of pavement design under seasonal variations: a case study of Brazilian airports

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This research aims to assess how seasonal temperature changes impact asphalt modulus and pavement reliability in varied climates across Brazil.
Evaluated pavement designs at eight Brazilian airports using FAARFIELD software.
Developed seasonal probability density functions from ten years of temperature data.
Conducted a Monte Carlo Simulation for reliability analysis.
Airports in the Southeastern region showed critical damage below 0.63.
Pavements in other Brazilian regions exhibited reliability ranging from 0.95 to 5.65.
Findings suggest warmer regions have lower pavement reliability compared to colder regions.

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Randomized trial evaluates pavement reliability across Brazilian airports, suggesting seasonal effects are crucial for design.

Cava et al. (2026) studied this question.

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