Numerical Evaluation of a muon tomography system for imaging defects in concrete structures
Sridhar Tripathy, Jaydeep Datta, Nayana Majumdar, Supratik, Mukhopadhyay

TL;DR
This study numerically evaluates muon scattering tomography for detecting defects in concrete structures, demonstrating its potential as a non-destructive testing method with improved image analysis techniques.
Contribution
It introduces a simulation-based approach using Geant4 to assess muon tomography for civil engineering, incorporating a novel image processing method for defect detection.
Findings
Muon scattering tomography can identify concrete defects with cosmic muons.
Pattern recognition improves defect detection accuracy.
The method offers a non-destructive evaluation technique for civil structures.
Abstract
Among numerous applications of muon tomography, deployment in civil structures has caught attraction of many recently. In this work, the appropriateness of muon scattering tomography to detect defects in concrete structures has been studied numerically. A few basic concrete structures that are frequently used in civil construction, have been considered as test cases. A simulation has been performed on Geant4 platform where an imaging setup built with several gaseous ionization detectors, having a specific spatial resolution for tracking the muons, have been modeled. The images of the test cases with and without the defect have been simulated for a month-long exposure of cosmic muons on the basis of their scattering from the composite concrete structures. The images have been compared using t-test to evaluate the performance of the imaging setup in identifying the defects. Further…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
