Physicomechanical Behavior of High-Performance Concrete Reinforced with Recycled Steel Fibers from Twisted Cables in the Brittle State—Experimentation and Statistics

Chetbani, Yazid; Zaitri, Rebih; Tayeh, Bassam A.; Hakeem, Ibrahim Y.; Dif, Fodil; Kellouche, Yasmina

doi:10.3390/buildings13092290

Cited by 5 publications

(3 citation statements)

References 83 publications

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“…Two-factor analysis of variance (ANOVA) with replications was employed to investigate the effects of two independent variables on the observed outcomes. Particle size, temperature, and pressure were manipulated as independent variables to evaluate both their individual impacts and potential interactions [32,33]. An ANOVA was performed on the dataset, which comprised a total of 102 data points.…”

Section: Discussionmentioning

confidence: 99%

Particle Boards from Forest Residues and Bio-Based Adhesive

Krumins,

Vamza,

Dzalbs

et al. 2024

Buildings

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Wood chipboard, common in interior spaces for applications ranging from furniture to decorative panelling, often falls short due to the presence of toxic adhesives, posing risks to both human health and the environment. This research delves into the potential transformation of wood chipboard into a 100% bio-based product. Previous research has shown the possibility of the partial replacement of petrochemical-based adhesives with bio-based adhesives. Hence, previous results do not reach the policy ambitions of the Green Deal of making the Green Transition to a bio-based economy. For chipboard production, logging residues from Latvian State Forests were systematically gathered within two months post-logging, comprising primarily Picea abies and Pinus sylvestris biomass, including branches, needles, bark, and various particles. A custom chipper and Vibrotehnik PM-120 hammer mill were employed for particle size separation into three fractions via sieving: <2.8 mm, 2.8–8 mm, and 8.0–10.0 mm, and combined with binders and hot-pressed into board samples. As a result, particle boards containing 100% bio-based carbon were achieved, demonstrating the possibility of excluding petroleum adhesives from chipboard production, paving the way for new research exploring bio-based binders and conifer bark.

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Section: Discussionmentioning

confidence: 99%

Particle Boards from Forest Residues and Bio-Based Adhesive

Krumins,

Vamza,

Dzalbs

et al. 2024

Buildings

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“…When the R 2 value approaches 1, the accuracy of the proposed model increases illustrate that an increase in the Timchemt percentage, along with a reduction in the glass powder content from 5% to 0%, leads to high density values of up to 1.44 g/cm³ [12]. Figures 11 and 6 present 2D contour diagrams and 3D graphs to assess compressive strength and flexural strength at 28 days.…”

Section: Model Development and Anovamentioning

confidence: 98%

“…[3] Utilizing recycled fibers is a great way to lessen the impact on the environment and the amount of garbage that ends up in landfills. Numerous studies have demonstrated the economic viability and feasibility of using various fiber types recovered from waste sources in the manufacturing of reinforced concrete [5,8,12]. High carbon steel strands and wires make up wire ropes, which can deteriorate due to a number of factors, including fatigue-induced inter-wire friction and corrosion [9,17].…”

Section: Introductionmentioning

confidence: 99%

Effects of glass powder and Gypsum (Timchemt) on the thermal and mechanical properties of plaster bricks

Bouzouaid,

Chaib

2024

SEES

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The present research aims to study the effect of glass powder extracted from the glass waste disposal area in Ouargla (southern Algeria) on the thermo mechanical properties of plaster bricks. Therefore, density, compressive strength, flexural strength, thermal conductivity, and thermal resistance were measured in the laboratory using mixtures generated through the response surface methodology (RSM). This RSM technique was used to assess the influence of gypsum (95% – 100%) and glass powder (0% – 5%) on the behavior of hardened plaster bricks. The experimental results and RSM evaluation show a significant increase in compressive and flexural strength at the maximum and minimum levels of Timchemt and glass powder, and detailed scanning electron microscopy (SEM) analyses supported the results. Consequently, quadratic mathematical models were developed using the RSM method applied to the obtained results. Analysis of variance (ANOVA) yielded a (P-value <0.05) and correlations exceeding 91% for all the studied parameters. Probability plots showed excellent correlation between predicted and experimental values, and the 2D and 3D contours of the RSM demonstrated that the fitted models work very well and can provide the appropriate relationship between the selected parameters and thermo mechanical properties.

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Remediation of cationic dye from wastewater using a new environmentally friendly adsorbent: A response surface methodology and artificial neural network modeling study

Telli,

Ghodbane,

Laouissi

et al. 2024

Int J of Chemical Kinetics

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In the current report, both response surface methodology (RSM) and artificial neural network (ANN) were employed to develop an innovative way for removing crystal violet (CV) from aqueous media using Haloxylon salicornicum (HS) as a cost‐effective, eco‐friendly adsorbent. HS was characterized using scanning electron microscopy (SEM) and Fourier‐transform infrared (FTIR) spectroscopy. The effects of operational parameters such as adsorbent dosage, initial dye concentration, and pH on HS were studied using a central composite design (CCD). A comparative analysis of the model findings and experimental measurements revealed high correlation coefficients (R2ANN = 0.994, R2RSM = 0.971), indicating both models accurately predicted HS. The predictive performance of the ANN and RSM models was evaluated using metrics such as mean absolute deviation (MAD), mean absolute percentage error (MAPE), root mean square error (RMSE), mean square error (MSE), and the correlation coefficient (R2). The results indicate that the ANN model provides greater accuracy compared to the RSM model. The experimental data were analyzed using both linear and nonlinear forms of pseudo‐first and pseudo‐second order kinetic models (LPFO, NLPFO, LPSO, and NLPSO). Statistical error analysis was conducted to identify the best‐fitting kinetic or isotherm models for the adsorption data. The adsorption process of CV/HS was best described by NLPSO and LPSO. Additionally, the adsorption isotherms were analyzed using linear and nonlinear regression methods. The findings indicated that the linear Langmuir and Freundlich isotherms provided a more accurate fit compared to the nonlinear models, demonstrating greater effectiveness in accounting for the adsorption parameters. Thermodynamic investigations clearly demonstrate that the biosorption of CV is spontaneous and exothermic. This cost‐effective adsorbent is highly promising for treating textile wastewater.

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Physicomechanical Behavior of High-Performance Concrete Reinforced with Recycled Steel Fibers from Twisted Cables in the Brittle State—Experimentation and Statistics

Cited by 5 publications

References 83 publications

Particle Boards from Forest Residues and Bio-Based Adhesive

Particle Boards from Forest Residues and Bio-Based Adhesive

Effects of glass powder and Gypsum (Timchemt) on the thermal and mechanical properties of plaster bricks

Remediation of cationic dye from wastewater using a new environmentally friendly adsorbent: A response surface methodology and artificial neural network modeling study

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