Design Model for Reflection Cracking in Airport Asphalt Overlays (Phase II)

📨 Principal Investigator: Hasan Ozer
🔖 Co-PI: Imad L. Al-Qadi, Carlos Armando Duarte
🤝 Sponsor:  Federal Aviation Administration (FAA)
📅 Timeline: 2025 – Ongoing

Highlights

01 / 03 — Objective
Validated Transfer Functions for Mechanistic-Empirical Reflective Cracking Design
Building on Phase I’s computational fracture framework, this study aims to develop validated and calibrated transfer functions that quantify reflective cracking severity and density in AC overlays, and integrate those functions into a full mechanistic-empirical (M-E) overlay design framework.
02 / 03 — Preliminary Direction
3-D Fracture Mechanics Combined with Empirical Transfer Functions and New Design Variables
The M-E framework will combine 3-D fracture mechanics-based crack propagation calculations with empirical transfer functions calibrated against a new airport pavement performance database, incorporating AC-PCC interface debonding and joint load transfer efficiency as additional design variables not considered in Phase I.
03 / 03 — Impact
Complete Reflective Cracking Design Capability for FAARFIELD
This research is expected to deliver the complete reflective cracking design capability for FAARFIELD, transforming how the FAA designs airport asphalt overlays on rigid pavements.

Introduction

The Phase I study established that reflective cracking in airport asphalt overlays can be simulated with high fidelity using 3-D fracture mechanics and viscoelastic material models, a significant milestone. But translating that simulation capability into a design tool that an airport engineer can actually use in daily practice requires more than accurate crack propagation calculations. It requires a way to connect those calculations to observable field outcomes: what percentage of joints will show cracking after a given number of years? How severe will those cracks be? And when does the cracking become severe enough to constitute structural failure of the overlay? These questions belong to the domain of transfer functions, the mathematical bridges that connect mechanistic model outputs to field performance observations. 

The FAA’s long-range goal for its Reflective Cracking Study Program has always been to develop fully validated transfer functions and implement them in FAARFIELD, the agency’s official pavement design software used at airports nationwide. Phase II of this research program responds to that goal directly. 

Methodology and Framework

The proposed research is organized around three parallel tracks. The first track focuses on building the validation and calibration infrastructure: developing a large and diverse airport pavement condition database by collecting distress surveys, traffic records, and climate data from over 100 airports across the United States in diverse climatic regions. This database will be used to calibrate transfer functions by matching computational damage predictions to observed field cracking progression. The second track advances computational models by adding two new capabilities not included in Phase I: the simulation of AC-PCC interface debonding and load transfer efficiency (LTE) between adjacent concrete.  

The third track develops the complete mechanistic-empirical design framework, connecting all components into a design protocol suitable for FAARFIELD implementation. The M-E framework processes monthly traffic and climate inputs, calculates the viscoelastic energy release rate via ANN surrogate models and EVCP, applies the modified Paris Law to accumulate crack growth incrementally, and ultimately predicts the percentage of cracked joints as a function of overlay age using S-shaped transfer functions calibrated to field data. The iterative design protocol evaluates trial overlay thicknesses against a cumulative damage factor (CDF) failure criterion, allowing engineers to select the minimum overlay thickness that meets the desired service life.

Publications

2024
Analysis of reflective cracking in asphalt overlaid jointed concrete airfield pavements using a 3D generalized finite element approach
Beheshti, M., Henrique Campana Bento, M., Silva Ramos, C., Duarte, C.A., Brill, D.R., & Ozer, H.
International Journal of Pavement Engineering, 25(1)
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2025
Prediction of asphalt concrete energy release rate from Texas Overlay Test using machine learning
Liu, F., Beheshti, M., Ozer, H., & Al-Qadi, I.L.
Road Materials and Pavement Design, 26(2), 441–461
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2025
Viscoelastic Computational Fracture Mechanics Approach for the Analysis of Thermal Reflective Cracking in Asphalt Overlaid Jointed Concrete Airfield Pavements
Beheshti, M., & Ozer, H.
Transportation Research Record: Journal of the Transportation Research Board, 2679(12), 823–843
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2025
Asphalt concrete overlay thermal reflective cracking stress intensity factor prediction using machine learning
Liu, F., Al-Qadi, I.L., Beheshti, M., & Ozer, H.
Road Materials and Pavement Design, 1–22
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2026
Machine learning-based predicted stress intensity factor to estimate reflective cracking in airfield asphalt concrete overlay under aircraft loading
Liu, F., Al-Qadi, I.L., Beheshti, M., & Ozer, H.
International Journal of Pavement Engineering, 27(1)
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