Mathematical Modeling of the Rheological Behavior of Asphalt Concrete for Smart City Road Infrastructure
Maka Mantskava, Giorgi Kuchava, Giorgi Chanturia, Ioseb Kartvelishvili, Shawn Moodley
Source abstract
The paper addresses the mathematical modeling of the rheological behavior of asphalt concrete within the context of Smart City road infrastructure. A modified version of the Burgers model is proposed, integrating components of elasticity, viscous flow, and delayed elasticity. The model is calibrated for conditions of high temperature and cyclic loading, characteristic of the South Caucasus climatic zone. A scheme for real-time analysis of road pavement data, equipped with a sensor network, is proposed, enabling the prediction of the development of deformation mechanisms and the optimization of infrastructure repair work schedules. The results showed that the modified Burgers model describes real deformations 12–15% more accurately compared to classical Maxwell-Kelvin models.
Evidence graph
No public relationships recorded yet.
Integrity note: This page is a factual metadata record created by deterministic ingestion. It is not a claim that the work moves a mathematical frontier or has been independently verified.