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4D Monitoring of Analogue Models in CT Scanners Using Linear Markers of X-ray Highly Absorbent Materials

  • E. L. Pueyo*
  • , T. Román-Berdiel
  • , E. Willingshofer
  • , L. H. Ros
  • , F. Beekman
  • , A. Peiro
  • , R. Soto
  • , L. Rincón
  • , M. J. Ramón
  • , A. M. Casas
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

Physical analogue models, commonly known as “sand boxes,” help understanding structural geological deformational processes. Medical-type CT X-ray scanning is a proven method employed for monitoring the internal deformation of sand boxes in space and time. However, standard 4D reconstruction approaches of acquired CT scans (including digital volume correlation techniques) do not always enable an accurate monitoring and analysis of the strain patterns when deformation is highly non-cylindrical, non-coaxial or rotational. In this contribution, we focus on the use of highly absorbent X-ray markers as novel materials to obtain more accurate 4D monitoring in analogue models. We show how to optimize the type and proportion of linear and dispersed markers with respect to standard sand. We demonstrate that red lead or iron powders produce sufficient brightness to be used as markers to image internal deformation in the radiograms and enabling to be detected in standard imaging files, which will fundamental for the application of digital image correlation techniques in the aforementioned settings. Few preliminary experiments are shown to assess the applicability of the methodology in sand boxes together with the statement of some future challenges and developments.

Original languageEnglish
Title of host publicationStructural Geology and Tectonics
PublisherSpringer Nature
Pages113-130
Number of pages18
ISBN (Electronic)9789819547432
ISBN (Print)9789819547425
DOIs
Publication statusPublished - 1 Jan 2026

Bibliographical note

Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.

Keywords

  • 3D reconstruction
  • Analogue modelling
  • Red-lead and iron markers
  • Sand boxes

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