Geometrical roughness analysis of cement paste surfaces using coherence scanning interferometry and confocal microscopy

Belhaj-Trabelsi, Essia; Montgomery, P.C.; Serres, Nicolas; Fond, Christophe; Feugeas, F.

doi:10.1016/j.matchar.2016.05.023

Cited by 11 publications

(10 citation statements)

References 61 publications

(93 reference statements)

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“…The characterization of the material's surface helps to provide a better understanding of how microorganisms interact and colonize in different materials, i.e., bio-receptivity of the material [27]. Bacterial colonization on a surface is a complex process that depends on the interplay of three main factors: (i) the material surface characteristics, such as specific surface roughness, surface porosity or topography, chemical composition and wettability or surface-free energy (SFE); (ii) the bacterial properties, i.e., surface charge, surface energy, shape and size, appendages, adhesins, etc.…”

Section: Biofilm and Formation Phasesmentioning

confidence: 99%

“…Bacterial colonization on a surface is a complex process that depends on the interplay of three main factors: (i) the material surface characteristics, such as specific surface roughness, surface porosity or topography, chemical composition and wettability or surface-free energy (SFE); (ii) the bacterial properties, i.e., surface charge, surface energy, shape and size, appendages, adhesins, etc. and (iii) the environmental conditions, such as the flow conditions around the surface (temperature, humidity, viscosity, hydrodynamics, pH, surface tension, ionic strength and dielectric properties) [22,[27][28][29][30][31].…”

Section: Biofilm and Formation Phasesmentioning

confidence: 99%

“…In the first step of biofilm formation, the manner in which bacteria locate, approach and sense the proximity of the surface or, in other words, how the bacteria view the surface, can be influenced by the roughness scale and the roughness geometry. The geometric roughness parameters provide the link between the microorganisms' size and the roughness geometry [27].…”

Section: The Impact Of Roughness On Bacteria Colonizationmentioning

confidence: 99%

“…Apedo et al [27] studied the geometric roughness parameters of cement pastes with CSI analysis and the "window resizing" technique to calculate the sampling and the convolution. Sampling is the parameter related to the measuring tool, while the convolution is the parameter related to the roughness viewed by a bacterium of a given size, as shown in Figure 2.…”

Section: The Impact Of Roughness On Bacteria Colonizationmentioning

confidence: 99%

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Interaction between Biofilm Formation, Surface Material and Cleanability Considering Different Materials Used in Pig Facilities—An Overview

et al. 2021

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Sometimes the contamination in pig facilities can persist even after the washing and disinfection procedure. Some factors could influence this persistence, such as bacteria type, biofilm formation, material type and washing parameters. Therefore, this review summarizes how the type of surface can influence bacteria colonization and how the washing procedure can impact sanitary aspects, considering the different materials used in pig facilities. Studies have shown that biofilm formation on the surface of different materials is a complex system influenced by environmental conditions and the characteristics of each material’s surface and group of bacteria. These parameters, along with the washing parameters, are the main factors having an impact on the removal or persistence of biofilm in pig facilities even after the cleaning and disinfection processes. Some options are available for proper removal of biofilms, such as chemical treatments (i.e., detergent application), the use of hot water (which is indicated for some materials) and a longer washing time.

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Section: Biofilm and Formation Phasesmentioning

confidence: 99%

Section: Biofilm and Formation Phasesmentioning

confidence: 99%

Section: The Impact Of Roughness On Bacteria Colonizationmentioning

confidence: 99%

Section: The Impact Of Roughness On Bacteria Colonizationmentioning

confidence: 99%

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Interaction between Biofilm Formation, Surface Material and Cleanability Considering Different Materials Used in Pig Facilities—An Overview

et al. 2021

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“…In order to quantify the surface roughness of cement-based materials, some roughness parameters have been calculated by the information of fractured surface topography and employed to reflect the topography of material surface in previous investigations, i.e. roughness number [2,16,[18][19][20][21][22] and fractal dimension [2,4,16,17,23,24] , standard deviations of height distributions [12,25] , arithmetic mean deviation of the surface topography [15,26] , etc. These roughness parameters force on the global character of material surface topography, while it is worth noting that different roughness parameters maybe have different results in quantifying the roughness of the surface.…”

Section: Introductionmentioning

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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Assessing sampling interval-dependent roughness in fractured steel fiber reinforced concrete using a double-exponential decay model

Hou,

Li,

et al. 2024

Cement and Concrete Composites

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Geometrical roughness analysis of cement paste surfaces using coherence scanning interferometry and confocal microscopy

Cited by 11 publications

References 61 publications

Interaction between Biofilm Formation, Surface Material and Cleanability Considering Different Materials Used in Pig Facilities—An Overview

Interaction between Biofilm Formation, Surface Material and Cleanability Considering Different Materials Used in Pig Facilities—An Overview

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

Assessing sampling interval-dependent roughness in fractured steel fiber reinforced concrete using a double-exponential decay model

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