Correlation between fracture roughness and material strength parameters in SFRCs using 2D image analysis

Armandei, Mojtaba; Filho, Emil de Souza Sánchez

doi:10.1016/j.conbuildmat.2017.02.103

Cited by 18 publications

(6 citation statements)

References 29 publications

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“…Several investigations [11,17,32] have demonstrated that the steel fiber in SFRC play a significant role on the crack trajectory and surface roughness. The reason is that the fibers, aggregates and paste of FRC form some "colonies" (Fig.…”

Section: Analysis Of Crack Surface Topographymentioning

confidence: 99%

Effect of steel fiber on the crack permeability evolution and crack surface topography of concrete subjected to freeze-thaw damage

Zeng

Ding

Zhang

et al. 2020

Cement and Concrete Research

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This paper describes the steel fiber effect on the crack permeability and crack surface topography of concrete subjected to freeze-thaw damage. The sequential crack permeability of steel fiber reinforced concrete are investigated by a vacuum permeability set-up. The topographical analysis is applied on the crack surface by an invented 3-D laser scanning equipment. The results show that the crack permeability of concrete is less than the value predicted by the Poiseuille flow model and their difference decreases gradually with the crack widening. With increment of steel fiber dosage and freeze-thaw damage level, the effect of steel fiber on reducing the crack permeability becomes strong. Topographical analysis illustrates that both steel fiber and freeze-thaw damage enhance the roughness of concrete crack surface. The relationship between roughness number of crack surface and material permeability parameter α follows an exponential function, which can be employed to quickly estimate the crack permeability of concrete.

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Section: Analysis Of Crack Surface Topographymentioning

confidence: 99%

Effect of steel fiber on the crack permeability evolution and crack surface topography of concrete subjected to freeze-thaw damage

Zeng

Ding

Zhang

et al. 2020

Cement and Concrete Research

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“…Its output is a binary image that inputs a Python code for fractal dimension estimation using the box‐counting method. The readers interested in more details about the Fractal dimension estimation from the image are referred to References 3,40. It is assumed that the level of the fractal mass distribution is equal for all three dimensions, then the average value of

β

obtained from the fractal dimension is considered as

α_{k}

cited in Equation (8) and others (see Table 1).…”

Section: Experimental Testsmentioning

confidence: 99%

“…From the computational modeling point of view, failures happening in fragile regions, where there are more heterogeneities and micro‐cracks, contribute to forming the fracture surface. Hence, the crack propagation trajectory passes toward those weak defects that require a minimum of energy dissipation 3 . These heterogeneities are usually ignored in computational fracture modeling.…”

Section: Introductionmentioning

confidence: 99%

The fractal version of the bond‐based peridynamics method

Armandei¹,

Sarzosa²,

Savioli³

2021

Numerical Meth Engineering

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This article presents a new formulation of bond‐based peridynamic theory (PD) encompassing material texture heterogeneity through fractal geometry concepts and transforming all relevant variables from Euclidean space to fractal space. The heterogeneity incorporation is realized through the introduction of a linear transformation fractal coefficient (LTFC). By considering a mean value for all LTFCs of all spatial coordinates. For example, x, y, z, and using the relationship between fractal dimension Df and the Hurst exponent H. We present a fractal version of the bond‐based PD method that the equation of motion is conformed to fractal space. Validation of the formulation is accomplished in two steps: first, the effect of irregular mass distribution is characterized by the fractal dimension of the fracture surface roughness through experimental results of a series of single‐edge notched tensile tests of a ductile material. In the next step, the proposed formulation is calibrated with the fractal dimension obtained experimentally. The results are compared with the classical bond‐based PD formulation and the finite element analysis results. The obtained results in this article indicate that the irregular mass distribution of material can be introduced into particle‐based numerical methods using an adequate fractal exponent. The fractal version provides a good approximation of the fracture behavior of materials.

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“…Armandei et al [38] analyzed the effect of fiber on the fractured surface, and the result suggested that the fibers, aggregates and paste of FRC form some "colonies" (see Fig. 13), which may exhibit higher local tensile strength than that of aggregates and pastes, it causes that the cracks can be prevented to propagate into the "colonies" and deviated the trajectory path of crack toward the interval of the "colonies" (Fig.…”

Section: Comparison Of the Roughness Parameter Rn Of Different Samplesmentioning

confidence: 99%

Topographical analysis of fractured surface roughness of macro fiber reinforced concrete and its correlation with flexural toughness

Ding

Wang²,

Zhang

2020

Construction and Building Materials

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Macro fibers reinforcement is considered to be an effective way to improve the flexural toughness of the concrete. With growing public interest in wide-spread use of fiber reinforced concrete (FRC), the need for understanding and evaluating micro fiber reinforcement mechanism is on the rise. In this study, concretes were reinforced by various dopant amounts of macro polypropylene (PP) fiber or steel fiber (SF) or their mixtures, topographical analysis was applied on a fractured concrete surface by using a custom-built 3-D laser scanning equipment, and the tested surface was fractured by using a three-point bending beam test. The topographical analysis results were evaluated quantitatively by roughness parameters of roughness number (RN), fractal dimension (D), standard deviation of height distribution (σ z ), and arithmetic mean deviation of the surface topography (H a ). Multivariate analysis suggests the most effective of roughness number (RN) for evaluating the roughness of fractured surface. Furthermore, the RN of fractured surface was further correlated to the flexural toughness of the concrete, the relation between the fractured concrete surface roughness (RN) and flexural toughness follows an exponential function, which can be employed to quickly estimate its roughness of fractured surface by flexural toughness of the FRC. In conclusion, from the developed topographical analysis method, the hybrid fibers reinforced concrete shows the most significant improvement of the flexural toughness of the concrete, which suggests hybrid fiber reinforcement shall be a future solution for commercialization of the FRC in terms of high toughness and high durability.

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Correlation between fracture roughness and material strength parameters in SFRCs using 2D image analysis

Cited by 18 publications

References 29 publications

Effect of steel fiber on the crack permeability evolution and crack surface topography of concrete subjected to freeze-thaw damage

Effect of steel fiber on the crack permeability evolution and crack surface topography of concrete subjected to freeze-thaw damage

The fractal version of the bond‐based peridynamics method

Topographical analysis of fractured surface roughness of macro fiber reinforced concrete and its correlation with flexural toughness

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