A numerical study on the tensile splitting of concrete with digital image processing

Li, Xiang; Lin, Houquan; Chen, Wei; Liang, Shuquan; Huang, Linchong

doi:10.1016/j.jmrt.2023.06.026

Cited by 6 publications

(1 citation statement)

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“…The SEM images are usually affected by salt and pepper noise. The median filter is used to remove the noise [23]. Due to insufficient exposure, the SEM image gray levels may be limited, which may adversely affect the determination of pores.…”

Section: Image Processing Techniquementioning

confidence: 99%

SEM Image-based Porosity Analysis of Fire Damaged High Strength Concrete

Andrushia,

Anand,

Lublóy

et al. 2024

Period. Polytech. Civil Eng.

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The porosity of concrete affects the durability of reinforced concrete structures, wherein high levels of porosity are linked to a shorter service life. Recent works have noted that high porosity levels naturally exist in the aftermath of a fire exposure – especially when concrete is classified as high strength concrete (HSC). To shed more light into this phenomenon, this paper showcases a method for measuring the porosity of HSC under elevated temperatures through scanning electron microscopy (SEM). In this method, SEM-based images were examined to quantify the surface porosity of fire-affected HSC. Detailed image analysis was performed for HSC exposed to various heating durations. The study concludes that the surface porosity obtained via the SEM processing method is in good agreement with that from the SEM-based method (with a minor average difference of 3.8%). As such, the proposed method is expected to be reliable for the porosity analysis of fire-damaged concrete.

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Section: Image Processing Techniquementioning

confidence: 99%