Durability Performance and Thermal Resistance of Structural Self-Compacting Concrete Improved with Waste Rubber and Silica Fume

Bušić, Robert; Miličević, Ivana; Dokšanović, Tihomir; Grubišić, Marin

doi:10.3390/buildings13051331

Cited by 6 publications

(4 citation statements)

References 57 publications

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“…The results of the ANN analysis showed good agreement with the chosen configuration, confirming the effectiveness of the selected neural network architecture. The findings of this study align with previous research in the field, including studies by Bušić et al [46] on the durability performance and thermal resistance of selfcompacting concrete improved with waste rubber and silica fume, Christopher Gnana raj [47] on the impact of additives on SCC and their effects on mechanical behavior, and Montag et al [48] who presented a rapid chloride migration test to evaluate chloride penetration resistance under different conditions. The consistency between these studies reinforces the credibility and relevance of the current findings within the broader scientific context.…”

supporting

confidence: 87%

The Role of Xanthan Gum in Predicting Durability Properties of Self-Compacting Concrete (SCC) in Mix Designs

Masoumi,

Farokhzad,

Ghasemi

2023

Buildings

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This study comprehensively investigates the rheological properties of self-compacting concrete (SCC) and their impact on critical parameters, including the migration coefficient, penetration depth of chlorine ions, specific electrical resistance, and compressive strength. A total of 43 mix designs were meticulously examined to explore the relationships between these properties. Quantitative analysis employed a backpropagation neural network model with a single hidden layer to accurately predict the resistant and durable characteristics of self-compacting concrete. The optimal number of neurons in the hidden layer was determined using a fitting component selection method, implemented in MATLAB software(2021b). Additionally, qualitative analysis was conducted using sensitivity analysis and expert opinions to determine the priority of research additives. The main contributions of this paper lie in the exploration of SCC properties, the utilization of a neural network model for accurate prediction, and the prioritization of research additives through sensitivity analysis. The neural network model demonstrated exceptional performance in predicting test results, achieving a high accuracy rate using 14 neurons for predicting parameters such as chlorine penetration depth, compressive strength, migration coefficient, and specific electrical resistance. Sensitivity analysis revealed that xanthan gum emerged as the most influential additive, accounting for 43% of the observed effects, followed by nanomaterials at 35% and micro-silica at 21%.

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supporting

confidence: 87%

The Role of Xanthan Gum in Predicting Durability Properties of Self-Compacting Concrete (SCC) in Mix Designs

Masoumi,

Farokhzad,

Ghasemi

2023

Buildings

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“…These parameters consist of the water-to-cement ratio (w/c), the superplasticizer dosage (SNF%), the slump flow table diameter, the slump flow time at T50 cm, the V-funnel time, and the Vfunnel time at T5 minutes. These values provide insight into the workability and flow characteristics of the concrete mixtures [43][44][45][46][47]. T50 cm slump flow time represents the amount of time required for 50 cm of concrete to flow.…”

Section: Self-compacting Concretementioning

confidence: 99%

"Exploring the Effects of Self-Curing Techniques on the Characteristics of Self-Compacting Concrete "

Verma,

Meena,

Khan

et al. 2023

Preprint

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Self-compacting concrete is essential for vertical structures due to high reinforcement and usage of pumps for transporting the concrete at the working site. SCC is mainly influenced by self-curing for arid areas. To explore the SCC (Self-Compacting Concrete) mixture and condition influencing the self-curing condition were determined using the experimental procedure. Determination of various parameters was done using T50 slump flow, V-funnel, L-box-box, J ring test, compressive strength, splitting tensile strength, and flexural strength test. After the experimental investigation, it shows that if the dose if the dosage of superplasticizer (SNF%) increases, it will improve the concrete mixture's different properties, such as flowability and ability to pass. Higher water-to-cement ratios (w/c) generally result in enhanced flowability and stability. Mixture 9 (SNF 0.35, w/c 0.5) demonstrates favourable results across all parameters, indicating excellent flowability and stability. Mixture 9 (SNF 0.35, w/c 0.5) also shows favourable flowability and stability characteristics. Lower concentrations, such as 0.5%, may have a positive effect up to a certain point but might not provide sustained improvement over the curing period. On the other hand, concentrations of 1% and 2% demonstrated consistent and significant enhancement in strength throughout the 28 days. It is found that the higher concentrations of PEG 4000 may be more effective in improving the material strength.

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“…Furthermore, the natural fibers with low cost can be used to prevent the reinforced concrete’s corrosion. However, the effect of natural fibers on cement concrete’s mechanical strengths are limited [ 31 , 32 , 33 , 34 ]. Therefore, the natural fibers are not suitable as reinforcing materials for UHPC.…”

Section: Introductionmentioning

confidence: 99%

The Influence of Manganese Slag on the Properties of Ultra-High-Performance Concrete

Xu,

Yu,

Wang

2024

Materials

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Manganese slag (MS) is a kind of chemical waste, which may pollute the environment if conventional handling methods (stacking and landfill) are applied. Ultra-high-performance concrete (UHPC)—with considerably high compactness and strength—can be used not only as a special concrete material, but also to solidify the toxic substances in solid waste. This study proposes the addition of MS to UHPC, where the mass ratio of MS varies from 0% to 40% in the total mass of MS and silica fume. The effects of MS on the fluidity, plastic viscosity, and yield shear stress are investigated, and the flexural strength, compressive strength, and dry shrinkage rate of UHPC with MS are measured. X-ray diffraction (XRD) spectrum and energy spectrum analysis (EDS) diagrams are obtained to analyze the performance mechanism of the UHPC. A rheological study confirms that the slump flow increases with the increasing rate of 0–14.3%, while the yield shear stress and plastic viscosity decrease with the rates of 0–29.6% and 0–22.2%, respectively. The initial setting time increases with the mass ratio of MS by 0–14.3%, and MS has a positive effect on the flexural and compressive strengths of UHPC. In the early curing stage (less than 14 days), the increasing rate in the specimens increases with the curing age; meanwhile, when the curing age reaches 14 days or higher, the increasing rate decreases with increasing curing age. The compactness of UHPC is increased by adding MS. Furthermore, MS can increase the elements of Al and decrease crystals of Ca(OH)2 and calcium silicate hydrate in UHPC.

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Durability Performance and Thermal Resistance of Structural Self-Compacting Concrete Improved with Waste Rubber and Silica Fume

Cited by 6 publications

References 57 publications

The Role of Xanthan Gum in Predicting Durability Properties of Self-Compacting Concrete (SCC) in Mix Designs

The Role of Xanthan Gum in Predicting Durability Properties of Self-Compacting Concrete (SCC) in Mix Designs

"Exploring the Effects of Self-Curing Techniques on the Characteristics of Self-Compacting Concrete "

The Influence of Manganese Slag on the Properties of Ultra-High-Performance Concrete

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