Current Research
MICROSTRUCTURE ANALYSIS WITH X-RAY CT SCAN IMAGING TO DEVELOP ENHANCED FULL-DEPTH RECLAMATION (FDR) MIXES THROUGH OPTIMIZED MIX DESIGN COMPACTION EFFORT
Southern plain s Transportation Center (SPTC)
This research focuses on enhancing Full Depth Reclamation (FDR) - an innovative and sustainable method for recycling and stabilizing deteriorated asphalt pavements. Traditional pavement stabilization relies on high-emission binders, which contribute significantly to greenhouse gas (GHG) emissions. This study aims to transform the industry by evaluating advanced binders, such as engineered emulsions and foamed asphalt , which have the potential to significantly reduce CO₂ emissions while improving pavement durability .
A key innovation of this research is the integration of microstructural analysis using X-ray CT scanning and machine learning-driven quality control . By examining the internal structure of stabilized pavement layers, the study refines mix design and compaction strategies to develop longer-lasting, cost-effective roadways . To assess durability and resistance to rutting , FDR samples were subjected to accelerated loading tests using the Model Mobile Load Simulator (MMLS) . The results demonstrate that engineered emulsion combined with optimized compaction efforts significantly enhances the pavement’s ability to withstand repeated traffic loading with minimal deformation. Additionally, a unique laboratory method was developed to measure CO₂ emissions during the mixing process, providing valuable insights into the environmental impact of different binders. This enables a more accurate assessment of the sustainability benefits associated with advanced stabilization techniques. Furthermore, AI-powered image analysis is employed to monitor binder distribution in real-time, introducing a novel approach to quality control in FDR construction . This research contributes directly to sustainable infrastructure development , offering transportation agencies low-carbon, high-performance pavement solutions . By bridging material science, artificial intelligence, and sustainable engineering , this study aims to set new benchmarks for the future of pavement recycling and rehabilitation.
Principal Investigators:
Project partners:
Award Duration:
2024 - 2025
Budget:
$65,557 (Federal)
$68,182 (Matched)
External Sources/Links:
Phase 1:
https://www.sptc.org/current-projects-cy1-tamu-utep-01
Phase2: