Evaluation of sub-microstructure in concrete with low water-binder ratio by SEM-BSE image analysis

Qian, Chunxiang; Ba, Mingfang; Guo, Xingun; Han, Xiao

doi:10.1007/s11595-010-0070-7

Cited by 8 publications

(4 citation statements)

References 14 publications

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“…Also, increasing the W/B from 0.40 to 0.50 causes a looser and more porous structure. Thus, this situation enhances the porosity 48 . Besides, the overall trend of the P variation in the mixtures with W/B = 0.5 was similar to W/B = 0.4.…”

Section: Resultsmentioning

confidence: 62%

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New insight into the prediction of strength properties of cementitious mortar containing nano‐ and micro‐silica based on porosity using hybrid artificial intelligence techniques

Kazemi

Eskandari‐Naddaf

Korouzhdeh

2023

Structural Concrete

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Nowadays, the accurate prediction of strength properties of cementitious materials containing nano‐ and micro‐silica (NS–MS) remains an open question because of the highly nonlinear function of its constituents on the porosity. In the present study, a combined framework is developed by integrating ant colony optimization (ACO), particle swarm optimization (PSO), and biogeography‐based optimization (BBO) with the artificial neural network (ANN) to predict compressive and flexural strengths of cement mortar in two different forms of ignoring (ANNII) and considering (ANNIII) the porosity as an input parameter. This procedure is accomplished considering the porosity effect on the strengths and implementing an experimental program containing 32 mixes (960 specimens) with different NS–MS contents at various ages. Macro‐ and micro‐structural analyses showed that NS–MS caused more decreased pore structure, and thus this situation increases strength properties compared to their separate use. Also, MBBO‐MOANNIII results indicated an improvement in convergence speed and model accuracy compared to other models. This improvement is because of considering the porosity.

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Section: Resultsmentioning

confidence: 62%

“…Thus, this situation enhances the porosity. 48 Besides, the overall trend of the P variation in the mixtures with W/B = 0.5 was similar to W/B = 0.4. However, the P content in W/B = 0.5 was higher than in W/B = 0.4.…”

Section: Porosity (P)mentioning

confidence: 67%

New insight into the prediction of strength properties of cementitious mortar containing nano‐ and micro‐silica based on porosity using hybrid artificial intelligence techniques

Kazemi

Eskandari‐Naddaf

Korouzhdeh

2023

Structural Concrete

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“…As for the ITZ thickness, available experimental results do not achieve a consistent conclusion. Qian et al [36] indicated that addition of fly ash decreases the ITZ thickness by 37%. However, other studies showed that the effect of fly ash on the ITZ thickness is insignificant [30,37,38].…”

Section: Experimental Verification and Discussionmentioning

confidence: 99%

Experimental Investigation and Analytical Modeling of Chloride Diffusivity of Fly Ash Concrete

et al. 2020

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Owing to its importance in the assessment of reinforced concrete structures, it is essential to determine the chloride diffusivity of fly ash concrete. This paper presents an investigation into the diffusion characteristics of chloride ions in fly ash concrete. Through experiment, the relationship between chloride diffusivity and curing age up to 1800 days is measured and the effects of curing age, water/binder ratio, aggregate volume fraction, and fly ash content (i.e., percentage of total cementitious material by mass) on chloride diffusivity are evaluated. It is found that the chloride diffusivity decreases with the increase of curing age, aggregate volume fraction, and fly ash content, but increases with the increase of water/binder ratio. In analytical modeling, an equivalent aggregate model is constructed and the equivalent interfacial transition zone (ITZ) thickness is derived analytically. With the equivalent aggregate model, three-phase fly ash concrete reduces to a two-phase composite material. By extending the Maxwell method, the chloride diffusivity of fly ash concrete is formulated. Finally, the validity of the analytical method is verified by experimental results.

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“…Meso J.C. [7] had observed ITZ micro structure changes with age after the completion of concrete. The typical thickness of the transition zone between aggregate and cement matrix was approximately 50µm [8] and ITZ was featured by high porosity, large amount of oriented-aligned Ca(OH) 2 accumulation near coarse aggregate surfaces and the presence of micro cracks [1] .…”

Section: Introductionmentioning

confidence: 99%

Interfacial Transition Zone Meso-Structure of MgO Concrete Loaded to Failure by Computed Tomography

Hua¹,

Chen

Zuo³

2012

AMM

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The computed tomography was introduced to track the development of cracks in cement matrix and interfacial transition zone of MgO concrete under load to failure. Results indicated that some pores were present before concrete was loaded due to none compaction which would tend to initiate cracks expanding. After loading, energy transferring route kept changing and extended towards weak area and it chose to be released through aggregates when concentrated stress on cracks tip surpassed ultimate load with consequences of some cracks getting interconnected with each other through cement matrix. Differentiated and Binarized CT images analysis confirmed that width of cracks was increased and extending routes diversified with loading implemented and interfacial transition zone remained primary choice for cracks development.

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Evaluation of sub-microstructure in concrete with low water-binder ratio by SEM-BSE image analysis

Cited by 8 publications

References 14 publications

New insight into the prediction of strength properties of cementitious mortar containing nano‐ and micro‐silica based on porosity using hybrid artificial intelligence techniques

New insight into the prediction of strength properties of cementitious mortar containing nano‐ and micro‐silica based on porosity using hybrid artificial intelligence techniques

Experimental Investigation and Analytical Modeling of Chloride Diffusivity of Fly Ash Concrete

Interfacial Transition Zone Meso-Structure of MgO Concrete Loaded to Failure by Computed Tomography

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