Highway pavement plays a critical role in the economic development of cities and nations, and with proper design and maintenance, it supports sustainable transportation. Performance prediction models help evaluate the efficiency and durability of the road network, assisting in the development of strategies for infrastructure improvements. These predictions are made using computer-aided modeling and simulation techniques, aiming to identify future maintenance needs. Non-destructive testing (NDT) methods are used to assess the condition of existing roadways and provide information about their physical state. These techniques are vital for preserving pavement performance and enhancing traffic safety. NDT methods typically do not damage the materials being tested, and results can be obtained quickly, enabling efficient road maintenance management. Backcalculation problems involve analyzing data obtained from methods such as deflection testing to determine the mechanical properties of pavement structures. These methods play a significant role in enhancing the sustainability and safety of highway networks and contribute to the effective management of roadway maintenance. In this study, the performance prediction of pavement structures is investigated through backcalculation using data obtained from non-destructive deflection testing.
| Primary Language | English |
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| Subjects | Composite and Hybrid Materials |
| Journal Section | Research Article |
| Authors | |
| Submission Date | July 5, 2025 |
| Acceptance Date | July 23, 2025 |
| Publication Date | August 12, 2025 |
| Published in Issue | Year 2025 Volume: 1 Issue: 2 |