2014
DOI: 10.1016/j.conbuildmat.2014.06.013
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Investigation of the permeability of porous concrete reconstructed using probabilistic description methods

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Cited by 39 publications
(12 citation statements)
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“…Also, constant head permeability appears to be a function of pasted drain down, effective air void content and void size in NFC specimen. The reserve of the falling head and constant head methods agree reasonably well for laboratory sample as widely reported [91,63,125,101,124]. In order to understand the microstructure, Bentz [144] through virtual model compared the percolation characteristics and transport properties of actual NFC and found to be closest to the actual PC.…”
Section: Permeabilitysupporting
confidence: 69%
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“…Also, constant head permeability appears to be a function of pasted drain down, effective air void content and void size in NFC specimen. The reserve of the falling head and constant head methods agree reasonably well for laboratory sample as widely reported [91,63,125,101,124]. In order to understand the microstructure, Bentz [144] through virtual model compared the percolation characteristics and transport properties of actual NFC and found to be closest to the actual PC.…”
Section: Permeabilitysupporting
confidence: 69%
“…Later Sumanrooriya et al [90] predicted permeability of NFC mixture through planar images of specimen and through experimental investigation and reported that they were in good agreement with each Figure 10: Falling head permeability apparatus [85] Figure 11: Variation in water permeability v/s porosity from previous studies [124] other. Since clogging is biggest threat for permeability, Alamd and Haselbach [122] studies different specifications and designs to make clogging resistant NFC.…”
Section: Permeabilitymentioning
confidence: 65%
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“…In line with that, Chung et al [18] used computer tomography images to generate 3D models of PC samples. From this models, they proposed a method using low-order probability functions to generate reconstructed 3D model from the hardened specimens.…”
Section: Introductionmentioning
confidence: 98%
“…Here, two types of probabilistic functions, two-point correlation and lineal-path, are used to characterize the pore distribution within the foamed samples. These probabilistic functions are shown to be effective in describing the spatial distributions of pores [11,20,36]. The two-point correlation function for a pore phase, P pp (r), is the probability that any two randomly-placed points are positioned in the pore region ( Figure 6a); this function is utilized to characterize the clustering level of pores [20,22].…”
Section: Low-order Probability Functionsmentioning
confidence: 99%