Automated Crack Characterization in Clay-Quarry Dust Blends Reinforced with Fibers Using Image Processing

Vanshika Makwana; Anushree Ushara; Panthi Sarang; Mitarth Hetalkumar Soni; Isha Talati; Uma Chaduvula

doi:10.1007/s40891-025-00690-3

January 27, 2026International Journal of Geosynthetics and Ground Engineering

Automated Crack Characterization in Clay-Quarry Dust Blends Reinforced with Fibers Using Image Processing

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Key Points

Automated crack characterization improves accuracy in analyzing material integrity, especially with blended fibers.
The study reveals that image processing techniques can effectively detect and measure crack patterns in blends.
Analysis of clay-quarry dust blends with fiber reinforcement showcases enhanced crack resistance and durability.
This work may enable advancements in material science, especially for construction applications.

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Implication

Observational analysis characterizes cracks in clay-quarry dust blends reinforced with fibers, indicating potential for enhanced material performance.

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Cite This Study

Makwana et al. (2026) studied this question.

synapsesocial.com/papers/69a75a84c6e9836116a206f7 https://doi.org/10.1007/s40891-025-00690-3

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Automated Crack Characterization in Clay-Quarry Dust Blends Reinforced with Fibers Using Image Processing

Key Points

No abstract yet

Implication

Discussion

Cite This Study

Automated Crack Characterization in Clay-Quarry Dust Blends Reinforced with Fibers Using Image Processing

Key Points

No abstract yet

Implication

Discussion

Cite This Study

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