A critical review of the effect of concrete composition on rebar–concrete interface (RCI) bond strength: A case study of nanoparticles

Mousavi, Seyed Sina; Ajarostaghi, Seyed Soheil Mousavi; Bhojaraju, Chandrasekhar

doi:10.1007/s42452-020-2681-8

Cited by 28 publications

(11 citation statements)

References 159 publications

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“…Previous studies reported that concrete composition significantly affects the bond strength between reinforcing bar (rebar) and surrounding concrete [170,171]. A few researchers have studied the effect of clays on the bond strength of reinforcing bars in the surrounding concrete.…”

Section: Bond Strengthmentioning

confidence: 99%

Clay as a Sustainable Binder for Concrete—A Review

Mousavi

Bhojaraju²,

Ouellet-Plamondon

2021

Construction Materials

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The negative environmental impacts of Portland cement as a binder in the construction industry have created a growing impetus to develop sustainable alternative binders. Various types of clay have been considered as potential cement replacements. The impact of clays as cement replacement depends on the dosage and treatment methods. This paper presents a comprehensive review to determine the effects of different types of clay on the fresh and hardened properties of concrete mixtures by analyzing the experimental database reported by the literature, including raw, calcined, modified, nano, and organo. This study intends to show the process of optimizing the use of clay in concrete, the reason behind converting raw clay to modified types, and research gaps through a comparison study between different types of clays. The present review study shows that clay-based concrete mixtures have higher thixotropy and yield stress values, improving shape stability. This results in lower early-age shrinkage of the concrete. However, the high floc strength of clay-based concrete causes a reduction in flowability. Treatment methods of raw clay, such as calcination and nano-sized clay particles, improve concrete compressive strength. General results of the previous studies highlight that all types of clay investigated positively affect the resistance of concrete to environmental attack.

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Section: Bond Strengthmentioning

confidence: 99%

Clay as a Sustainable Binder for Concrete—A Review

Mousavi

Bhojaraju²,

Ouellet-Plamondon

2021

Construction Materials

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“…Nanotechnology is a research area that has revolutionized the mechanical and chemical properties of materials [125,126]. Nanotechnology is a promising research field with applications to improve the quality of the product and the performance of concretes [127].…”

Section: Nano Alumina (Na) Applications In Sccmentioning

confidence: 99%

Effect of Alumina Additives on Mechanical and Fresh Properties of Self-Compacting Concrete: A Review

et al. 2021

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Self-compacting concrete (SCC) has been increasingly used in the construction sector due to its favorable characteristics in improving various durability and rheology aspects of concrete such as deformability and segregation resistance. Recently, the studies on the application of nano-alumina (NA) produced from factory wastes have been significantly considered to enhancing the performance, and mechanical strength, of SCC. Many experimental works show that NA can be used in SCC with appropriate proportion to enjoy the benefits of improved microstructure, fresh and hardened properties, durability, and resistance to elevated temperature. However, a limited detailed review is available to particularly study using NA to improve the performance of SCC, so far. Hence, the present study is conducted to fill the existing gap of knowledge. In this study, the effect of using NA in improving rheological, mechanical parameters, and elevated temperature resistance of SCC is reviewed. This research summarized the studies in this area, which have been different from the previous researches, and provided a discussion on limitations, practical implications, and suggestions for future studies.

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“…The concrete composition considerably impacts concrete's mechanical and durability characteristics 1 , 2 . Despite the mechanical properties, understanding the effect of concrete composition on durability is still challenging for researchers in this field 3 .…”

Section: Introductionmentioning

confidence: 99%

“…Among these variables, concrete composition plays a major role in controlling internal damage of chloride attack. Previous studies strongly emphasized that concrete composition directly affects the fresh, mechanical, and durability characteristics 2 , 5 . Concrete composition means the water-to-binder ratio (W/B), water content, cement content, cement type, aggregate content, aggregate type, fillers, nanomaterials, mineral additives, and chemical admixtures.…”

Section: Introductionmentioning

confidence: 99%

An efficient machine learning approach for predicting concrete chloride resistance using a comprehensive dataset

Hosseinzadeh,

Mousavi,

Hosseinzadeh

et al. 2023

Sci Rep

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By conducting an analysis of chloride migration in concrete, it is possible to enhance the durability of concrete structures and mitigate the risk of corrosion. In addition, the utilization of machine learning techniques that can effectively forecast the chloride migration coefficient of concrete shows potential as a financially viable and less complex substitute for labour-intensive experimental evaluations. The existing models for predicting chloride resistance encounter two primary challenges: the constraints imposed by a limited dataset and the absence of certain input variables. These factors collectively contribute to a decrease in the overall effectiveness of these models. Therefore, this study aims to propose an advanced approach for dataset cleaning, utilizing a comprehensive experimental dataset comprising 1073 pre-existing experimental outcomes. The proposed model for predicting the chloride diffusion coefficient incorporates various input variables, such as water content, cement content, slag content, fly ash content, silica fume content, fine aggregate content, coarse aggregate content, superplasticizer content, fresh density, compressive strength, age of compressive strength test, and age of migration test. The utilization of the artificial neural network (ANN) technique is also employed for the processing of missing data. The current supervised learning incorporates both regression and classification tasks. The efficacy of the proposed models for accurately predicting the chloride diffusion coefficient has been effectively validated. The findings indicate that the XGBoost and SVM algorithms exhibit superior performance compared to other regression prediction algorithms, as evidenced by their high R2 scores of 0.94 and 0.91, respectively. In relation to classification algorithms, the findings demonstrate that the Random Forest, LightGBM, and XGBoost models exhibit the highest levels of accuracy, specifically 0.93, 0.96, and 0.97, respectively. Furthermore, a website has been developed that is capable of predicting the chloride migration coefficient and chloride penetration resistance of concrete.

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A critical review of the effect of concrete composition on rebar–concrete interface (RCI) bond strength: A case study of nanoparticles

Cited by 28 publications

References 159 publications

Clay as a Sustainable Binder for Concrete—A Review

Clay as a Sustainable Binder for Concrete—A Review

Effect of Alumina Additives on Mechanical and Fresh Properties of Self-Compacting Concrete: A Review

An efficient machine learning approach for predicting concrete chloride resistance using a comprehensive dataset

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