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2024 | OriginalPaper | Buchkapitel

Quantitative Crack Pattern Analysis for Understanding the Mechanical Degradation of ASR-Affected Concrete with Different Reactive Aggregate Sizes

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Abstract

This study aims to investigate the relationship between mechanical property degradation and expansion through quantitative crack morphology analysis in ASR-affected concrete. Three groups of specimens with different reactive aggregate sizes were prepared and subjected to the alkali-silica reaction (ASR) acceleration. The expansion of each specimen was continuously measured, and tests were conducted to observe the compression behavior and crack patterns exhibited by the specimens at different levels of expansion. The specimens were sliced and subsequently embedded into fluorescent resin, and crack images were captured using a digital camera under ultraviolet light. Image analysis techniques were employed to obtain quantitative information regarding the crack size, including length and width distributions. The experimental results revealed that larger cracks resulted in a higher compressive strength reduction than smaller cracks. Furthermore, we demonstrated that there is a strong correlation between the compressive strength and expansion when considering the crack size distribution. This research paves the way for future models to better predict the mechanical behavior of concrete structures under ASR deterioration.

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Literatur
7.
Zurück zum Zitat Joo, H.E.: Multi-scale model for structural assessment of ASR-affected RC member considering time-dependent mechanical contribution of gel (Doctoral dissertation). The University of Tokyo (2022) Joo, H.E.: Multi-scale model for structural assessment of ASR-affected RC member considering time-dependent mechanical contribution of gel (Doctoral dissertation). The University of Tokyo (2022)
10.
Zurück zum Zitat Gostick, J., et al.: PoreSpy: A Python Toolkit for Quantitative Analysis of Porous Media Images. Journal of Open Source Software 4(37), 1296 (2019)CrossRef Gostick, J., et al.: PoreSpy: A Python Toolkit for Quantitative Analysis of Porous Media Images. Journal of Open Source Software 4(37), 1296 (2019)CrossRef
11.
Zurück zum Zitat Bradski, G.: The OpenCV Library. Dr. Dobb’s Journal of Software Tools 120, 122–125 (2000) Bradski, G.: The OpenCV Library. Dr. Dobb’s Journal of Software Tools 120, 122–125 (2000)
Metadaten
Titel
Quantitative Crack Pattern Analysis for Understanding the Mechanical Degradation of ASR-Affected Concrete with Different Reactive Aggregate Sizes
verfasst von
Xi Ji
Yuya Takahashi
Hyo Eun Joo
Copyright-Jahr
2024
DOI
https://doi.org/10.1007/978-3-031-59349-9_17