• Corpus ID: 235377405

Fracture Mechanics-Based Quantitative Matching of Forensic Evidence Fragments

@article{Thompson2021FractureMQ,
  title={Fracture Mechanics-Based Quantitative Matching of Forensic Evidence Fragments},
  author={Geoffrey Z. Thompson and Bishoy M. Dawood and Tianyu Yu and Barbara K. Lograsso and John D. Vanderkolk and Ranjan Maitra and William Q. Meeker and Ashraf Bastawros},
  journal={arXiv: Applications},
  year={2021}
}
Fractured metal fragments with rough and irregular surfaces are often found at crime scenes. Current forensic practice visually inspects the complex jagged trajectory of fractured surfaces to recognize a ``match'' using comparative microscopy and physical pattern analysis. We developed a novel computational framework, utilizing the basic concepts of fracture mechanics and statistical analysis to provide quantitative match analysis for match probability and error rates. The framework employs the… 
Quantitative Matching of Forensic Evidence Fragments Utilizing 3D Microscopy Analysis of Fracture Surface Replicas
TLDR
3D topological images of fractured surface pairs and their replicas are analyzed and statistical analysis comparison protocol was applied to provide confidence in the quantitative statistical comparison between fractured items and their replication.

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