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Background <p>Digital volume correlation (DVC) of in-situ X-ray micro-computed tomography (µCT) images provides a powerful means to quantify internal deformation and damage characteristics of particulate composite materials under mechanical loading. However, accurately tracking structural evolution becomes more challenging when the material undergoes large deformations accompanied by crack formation and growth.</p> Objective <p>This study aims to improve the accuracy and robustness of DVC analysis in heavily damaged particulate composites by implementing a backward incremental DVC approach.</p> Methods <p>The internal response of a mock plastic-bonded explosive (PBX) composite was examined. The composite was fabricated by embedding IDOX crystals, 75–150 <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\mu \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>μ</mi> </math></EquationSource> </InlineEquation>m in size, within a polyurethane-based binder, Estane. A cylindrical specimen was subjected to unconfined compression, during which sequential µCT scans were acquired. In the backward DVC approach, correlations are performed in reverse, from the most deformed state back to the undeformed configuration through intermediate steps, using the conventional DVC framework. This method enhances displacement tracking fidelity in regions with severe cracking and interfacial failure.</p> Results <p>The backward incremental DVC approach provides improved resolution of displacement and deformation fields near crack-affected regions compared with conventional DVC methods. It enables detailed observation of interface delamination between grains and binder associated with crack initiation and coalescence.</p> Conclusion <p>The results demonstrate that the backward incremental DVC technique effectively characterizes complex deformation mechanisms in damaged particulate composites and provides valuable experimental data for validating high-fidelity numerical simulations that resolve grain-scale interactions.</p>

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In-Situ Internal Deformation Measurement of an IDOX Particulate Estane Binder Composite via Backward Digital Volume Correlation

  • 期刊论文

  • 发表日期：

    2025年12月18日

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  • E. Mehrdad,
  • P. B. Javadzadeh,
  • Y. Ren,
  • N. Peterson,
  • A. Clarke,
  • R. Regueiro,
  • A. K. Arzoumanidis,
  • B. K. Bay,
  • H. Lu

摘要

Background

Digital volume correlation (DVC) of in-situ X-ray micro-computed tomography (µCT) images provides a powerful means to quantify internal deformation and damage characteristics of particulate composite materials under mechanical loading. However, accurately tracking structural evolution becomes more challenging when the material undergoes large deformations accompanied by crack formation and growth.

Objective

This study aims to improve the accuracy and robustness of DVC analysis in heavily damaged particulate composites by implementing a backward incremental DVC approach.

Methods

The internal response of a mock plastic-bonded explosive (PBX) composite was examined. The composite was fabricated by embedding IDOX crystals, 75–150 \(\mu \) μ m in size, within a polyurethane-based binder, Estane. A cylindrical specimen was subjected to unconfined compression, during which sequential µCT scans were acquired. In the backward DVC approach, correlations are performed in reverse, from the most deformed state back to the undeformed configuration through intermediate steps, using the conventional DVC framework. This method enhances displacement tracking fidelity in regions with severe cracking and interfacial failure.

Results

The backward incremental DVC approach provides improved resolution of displacement and deformation fields near crack-affected regions compared with conventional DVC methods. It enables detailed observation of interface delamination between grains and binder associated with crack initiation and coalescence.

Conclusion

The results demonstrate that the backward incremental DVC technique effectively characterizes complex deformation mechanisms in damaged particulate composites and provides valuable experimental data for validating high-fidelity numerical simulations that resolve grain-scale interactions.