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Prof. Perviz Ahmedzade Samarkand State Architectural and Civil Engineering University, Samarkand, Uzbekistan Ege University, İzmir, Türkiye Data-Driven Fatigue Modeling in Asphalt Pavements: from Mechanistic Understanding to Decision Support Fatigue cracking in asphalt pavements is a complex process driven by repeated traffic loading and influenced by temperature, loading conditions, mixture properties, aging, and healing. Because it strongly affects performance, cost, safety, and emissions, accurate prediction and management are essential. Combining mechanistic knowledge with data-driven approaches—using laboratory tests, field records, and imaging/sensing data—enables better prediction of fatigue life, crack growth, and remaining service life. This integrated approach supports improved materials design, maintenance planning, and sustainability by reducing uncertainty and enhancing overall pavement performance. |
