Abstract for presentation (Poster or Podium)
AI in Transportation
Ahmad Mahdi Abdelmawla, n/a
Research Assistant
University of Georgia
athens, Georgia, United States
Sung-Hee Sonny Kim, PhD
Professor
University of Georgia
Alpharetta, GA, United States
Ahmad Mahdi Abdelmawla
University of Georgia
athens, Georgia, United States
Ensuring the structural safety of infrastructure necessitates precise detection and quantification of subsurface cracks. While Ground Penetrating Radar (GPR) is renowned for anomaly detection, its efficacy in gauging crack intensity is yet to be fully realized. This research focuses on harnessing GPR's capabilities for in-depth subsurface crack intensity assessment in various infrastructural elements.
Key objectives include:
Refinement of GPR Techniques: Tailoring GPR methodologies to differentiate and measure varying crack intensities, providing a comprehensive view of infrastructural health.
Algorithm Development: Crafting sophisticated algorithms to process GPR data, categorizing detected cracks based on their severity, and generating a detailed subsurface integrity map.
Field Validation: Undertaking rigorous field tests across diverse infrastructure types to validate the GPR techniques and algorithms, benchmarking against conventional assessment methods.
The expected outcome is an innovative, non-invasive technique that offers granular insights into subsurface crack intensities. By delivering detailed information on subsurface conditions, this approach aims to revolutionize infrastructure assessment, leading to timely maintenance interventions and prolonged structural longevity.