About microcracking due to leaching in cementitious composites: X-ray microtomography description and numerical approach

Rougelot, Thomas; Burlion, Nicolas; Bernard, Dominique; Skoczylas, Frédéric

doi:10.1016/j.cemconres.2009.09.021

Cited by 79 publications

(33 citation statements)

References 42 publications

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“…To this aim a huge effort has been paid during the last decade to set up numerical simulations that are able to take into account for this fine scale information (Zhu et al (2008); Wriggers and Moftah (2006); Garboczi and Bentz (1998); Zubelewicz et al (2014)). Of course this effort is concomitant with the spread of three-dimensional and non-destructive experiments such as X-ray microtomography, which provides some of the morphological data that the numerical simulations require (Rougelot et al (2010)). …”

Section: Introductionmentioning

confidence: 99%

Meso-scale modeling of concrete: A morphological description based on excursion sets of Random Fields

Roubin

Colliat

Benkemoun

2015

Computational Materials Science

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In view of the significant impact of thin scale heterogeneities in regards with the macroscopic response of concrete (and generally speaking of heterogeneous materials), a particular effort is dedicated to morphological representation and modeling. The development of a model based on spatially correlated random functions (Random Fields) is proposed in this article. It is shown how the stationary ergodic property coupled with the spatial structure of correlated Random Fields can efficiently address the problematic when submitted to a threshold process. Recent mathematical results Adler (2008) give accurate ways to analytically control the resulting morphology, both geometrically and topologically speaking. The generalized aspect of this framework has to be seen here as the ability of the model to represent different kind of morphologies such as matrix/inclusion, opened or closed porosity. With such features, heterogeneous material can be represented at different scales. By expanding a rather abstract formula given by Adler (2008), the authors aim at spreading this point of view with a "ready for use" framework. Furthermore, by addressing common issues such as, reaching high volume fraction with disconnected topologies and representing grain size distributions, solutions to adapt it to cementitious materials are given.

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Section: Introductionmentioning

confidence: 99%

Meso-scale modeling of concrete: A morphological description based on excursion sets of Random Fields

Roubin

Colliat

Benkemoun

2015

Computational Materials Science

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“…where I 0 is the intensity of the beam before the sample and µ (x, y, z, θ) for a great number of angles θ is called the Radon transform of the attenuation coefficient of the sample. The attenuation coefficient mainly depends on the density and chemical composition of the materials constituting the sample .…”

Section: Experimental Programmesmentioning

confidence: 99%

Sulphate attack-induced damage and micro-mechanical properties of concrete characterized by nano-indentation coupled with X-ray computed tomography

Qian

Nie

Cao

2016

Structural Concrete

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Sulphate attack is a serious problem for concrete in marine environments. Sulphate attack can change the composition and microstructure of concrete and eventually influence the mechanical and durability performance. In this paper, the heterogeneity and mechanical properties of concrete exposed to sulphate is investigated from the microscopic to the mesoscopic scale. X‐ray computed tomography (XCT) and nano‐indentation were adopted to define the defect zone and establish the relationship between interfacial transition zone (ITZ) and concrete matrix (mortar). The experiments were based on concrete and mortar specimens of different strengths. The results of XCT have nano‐indentation indicate that the specimens had similar degrees of damage regionally and good correlation exists between the elastic moduli of the ITZ and the mortar. The concrete can be partitioned into three parts: the cracked zone with heavy damage, damaged zone and undamaged zone. The elastic modulus of the mortar phase and the ITZ has a linear relation.

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“…Zhang et al (2012) used ìCT images to investigate mass diffusivity in Portland cement paste and Gallucci et al (2007) also used ìCT in a study of the degree of the pore network for cement during hydration. Rougelot et al (2010) reported on micro-cracking in cement composites using ìCT.…”

Section: Introductionmentioning

confidence: 98%

Correlation between low-order probability distribution functions and percolation of porous concrete

Chung

Han

2013

Magazine of Concrete Research

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Concrete is a multi-phase material whose material properties are strongly affected by phase distribution. It is important to identify the spatial distribution of voids in concrete because voids have a significant effect on mechanical behaviour and percolation. Therefore, a proper method to describe the void distribution of the material is needed. This paper describes how computed tomography (CT) was used to examine and quantify the void distribution of porous concrete specimens. Virtual three-dimensional porous concrete specimens were created using CT. Then, low-order probability distribution functions such as two-point correlation, lineal-path and two-point cluster functions were used to characterise the void distribution. Based on CT image analysis, the correlation of hydraulic conductivity between experiment results and probability distribution functions of porous concrete is examined. It is confirmed that low-order probability functions and percolation of porous concrete are correlated and that the loworder probability functions are efficient and effective in describing percolation within porous concrete.

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About microcracking due to leaching in cementitious composites: X-ray microtomography description and numerical approach

Cited by 79 publications

References 42 publications

Meso-scale modeling of concrete: A morphological description based on excursion sets of Random Fields

Meso-scale modeling of concrete: A morphological description based on excursion sets of Random Fields

Sulphate attack-induced damage and micro-mechanical properties of concrete characterized by nano-indentation coupled with X-ray computed tomography

Correlation between low-order probability distribution functions and percolation of porous concrete

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