Investigation of Mechanical and Fresh Properties of Ultra-High-Performance Concrete Incorporating Second-Generation Superplasticizers

Ultra-high-performance concrete (UHPC) has been following economic and environmental trends for the past two decades. Limited research has been conducted on the significance of superplasticizers in UHPC products, despite the high costs they entail for projects. The current study assesses UHPC based on rheological properties and mechanical characteristics considering different factors. In this study, the effects of different levels of superplasticizer derived from sulfonated naphthalene formaldehyde (SNF: 0.7%, 0.8%, and 0.9%), silica fume (SF: 15%, 20%, and 25%), and the water-to-binder ratio (w/b: 0.18, 0.20, and 0.22) were examined. Fresh tests such as slump flow, Vicat needle, and squeezing, as well as hardened tests like compressive strength, flexural strength, and electrical resistivity, were conducted. In the analysis, an artificial neural network (ANN) model and a fuzzy logic (FL) model were employed to forecast compressive strength results at 7 and 28 days. The results indicated that a higher SF dosage reduced slump flow and set time, whereas the opposite was observed for SNF and the w/b ratio. Three distinct behaviors were identified in the squeezing flow test findings: (1) specific elastic behavior and low plasticity, (2) extensive plastic behavior and significant dilatancy, and (3) heightened responsiveness to compressive flow rate and material ratio. SNF demonstrated promise in enhancing compressive, flexural, and electrical strength. The prediction models suggested that the FL (error range 3.18–4.36%) and ANN (0.74–1.03%) models performed well in predicting compressive strength at 7 and 28 days. The encouraging findings from this study set the stage for further sustainable and cost-effective construction methods.

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Publication Details

Journal
Applied Sciences
Published
2025-05-05
DOI
https://doi.org/10.3390/app15095133
Citations
3
Primary Topic
Concrete and Cement Materials Research
Type
article
Field-Weighted Citation Impact
2.86
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article

Investigation of Mechanical and Fresh Properties of Ultra-High-Performance Concrete Incorporating Second-Generation Superplasticizers

Moses Karakouzian, Jalil Barandoust, Mohammad Mohtasham Moein, S.E. Rigby et al.
3 citations
Applied Sciences
Concrete and Cement Materials Research
2.86
article

Investigation of Mechanical and Fresh Properties of Ultra-High-Performance Concrete Incorporating Second-Generation Superplasticizers

Moses Karakouzian, Jalil Barandoust, Mohammad Mohtasham Moein, S.E. Rigby, Ashkan Saradar, Sama Tajasosi
article en
3 citations

Abstract

Ultra-high-performance concrete (UHPC) has been following economic and environmental trends for the past two decades. Limited research has been conducted on the significance of superplasticizers in UHPC products, despite the high costs they entail for projects. The current study assesses UHPC based on rheological properties and mechanical characteristics considering different factors. In this study, the effects of different levels of superplasticizer derived from sulfonated naphthalene formaldehyde (SNF: 0.7%, 0.8%, and 0.9%), silica fume (SF: 15%, 20%, and 25%), and the water-to-binder ratio (w/b: 0.18, 0.20, and 0.22) were examined. Fresh tests such as slump flow, Vicat needle, and squeezing, as well as hardened tests like compressive strength, flexural strength, and electrical resistivity, were conducted. In the analysis, an artificial neural network (ANN) model and a fuzzy logic (FL) model were employed to forecast compressive strength results at 7 and 28 days. The results indicated that a higher SF dosage reduced slump flow and set time, whereas the opposite was observed for SNF and the w/b ratio. Three distinct behaviors were identified in the squeezing flow test findings: (1) specific elastic behavior and low plasticity, (2) extensive plastic behavior and significant dilatancy, and (3) heightened responsiveness to compressive flow rate and material ratio. SNF demonstrated promise in enhancing compressive, flexural, and electrical strength. The prediction models suggested that the FL (error range 3.18–4.36%) and ANN (0.74–1.03%) models performed well in predicting compressive strength at 7 and 28 days. The encouraging findings from this study set the stage for further sustainable and cost-effective construction methods.

Applied SciencesVol. 15(9)
University of Nevada, Las Vegas (US), University of Shahrood (IR), Allameh Mohaddes Nouri University (IR), Arup Group (United Kingdom) (GB), University of Guilan (IR)
Openalex Percentile: Top 11%
Concrete and Cement Materials Research
2.86
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