Response Surface Methodology Approach to Predict the Flexural Moment of Ferrocement Composites with Weld Mesh and Steel Slag as Partial Replacement for Fine Aggregate

Sridhar, Jayaprakash; Shinde, Ganesh Bhausaheb; Vivek, D.; Naseem, Khalida; Gaur, Piyush; Patil, Pravin P.; Tesema, Misganaw Tesfaye

doi:10.1155/2022/9179480

Cited by 5 publications

(1 citation statement)

References 19 publications

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“…This development occasioned the possibility of formulating equations to become accustomed to the technical hitches connected with modelling the behaviour of soil materials 43 . Remarkably, numerous materials and construction engineering scientists have looked into the achievability of utilizing diverse optimization tools and the conducted experimental outcomes revealed optimistic outcomes such as: extreme vertex design (EVD) 44 , response surface methodology (RSM) 34 , 45 , artificial neural network (ANN) 46 , gene expression programming (GEP) 47 , 48 , Taguchi optimization method 49 , 50 , Scheffe’s optimization approach 7 , artificial intelligence models 51 and so on. In view of this, the EVD approach is a mixture blending system which utilises a smaller fraction within the simplex and has been widely used in Civil engineering.…”

Section: Introductionmentioning

confidence: 99%

Role of extreme vertex design approach on the mechanical and morphological behaviour of residual soil composite

Attah,

Alaneme,

Etim

et al. 2023

Sci Rep

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This research work reports the usability of binary additive materials known as tile waste dust (TWD) and calcined kaolin (CK) in ameliorating the mechanical response of weak soil. The extreme vertex design (EVD) was adopted for the mixture experimental design and modelling of the mechanical properties of the soil-TWD-CK blend. In the course of this study, a total of fifteen (15) design mixture ingredients’ ratios for water, TWD, CK and soil were formulated. The key mechanical parameters considered in the study showed a considerable rate of improvement to the peak of 42%, 755 kN/m2 and 59% for California bearing ratio, unconfined compressive strength and resistance to loss in strength respectively. The development of EVD-model was achieved with the aid of the experimental derived results and fractions of component combinations through fits statistical evaluation, analysis of variance, diagnostic test, influence statistics and numerical optimization using desirability function to analyze the datasets. In a step further, the non-destructive test explored to assess the microstructural arrangement of the studied soil-additive materials displayed a substantial disparity compared to the corresponding original soil material and this is an indicator of soil improvement. From the geotechnical engineering perspective, this study elucidates the usability of waste residues as environmental friendly and sustainable materials in the field of soil re-engineering.

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Section: Introductionmentioning

confidence: 99%

Role of extreme vertex design approach on the mechanical and morphological behaviour of residual soil composite

Attah,

Alaneme,

Etim

et al. 2023

Sci Rep

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Prediction on compressive strength of hybrid textile reinforced concrete using response surface methodology

Raga Sudha,

Muthadhi

2024

Innov. Infrastruct. Solut.

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Predicting Strength Properties of High-Performance Concrete Modified with Natural Aggregates and Ferroslag under Varied Curing Conditions

Soundararajan¹,

Sridhar²,

Maniarasan³

et al. 2023

Advances in Civil Engineering

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High-performance concrete (HPC) is obtained by inclusion of mineral admixtures like silica fumes and fly ash to the normal concrete. Consumption of natural materials such as sand, natural aggregates, and limestone produces environmental degradation. Similarly, industrial by-products such as fly ash, silica fume, and ferro slag need to be safely disposed of without negatively impacting the environment. The problem being addressed in this study is the need to develop high-performance concrete (HPC) that is durable and environmentally friendly. In recent years, the use of natural aggregates and ferro slag as partial replacements for traditional aggregates has gained attention as a sustainable alternative in the production of concrete. However, there is limited research on the effect of these materials on the mechanical and durability properties of HPC under varied curing conditions. In this current research, high-performance concrete of M60 grade with partial substitution of coarse aggregate with ferro slag aggregate was formed as per the recommendations of the American Concrete Institute with the inclusion of fly ash and silica fume. Natural coarse aggregate was partly substituted by ferro slag aggregate in proportions from 0% to 40%. Partial substitution of cement was made with 15% of fly ash and 10% of silica fumes. Specimens of normal concrete mix (MF0) and modified ferro slag aggregate concrete mix (MF20, MF30, and MF40) were prepared and subjected to acid test, sulphate test, and alternate wet and drying tests to assess the compressive strength of the concrete mixes. Central composite design (CCD) of RSM modelling was adopted to recommend a regression model to forecast the compressive strength of concrete under wetting drying test, acid test, and sulphate attack. Further, natural aggregate, ferro slag, and duration of curing were considered as basic variables to suggest the model. Regression models for response data were evaluated using analysis of variance (ANOVA) and Pareto charts. The results show that the mix MF30 (30% substitution of natural aggregate by ferro slag aggregate) had higher compressive strength. The residual compressive strength at 270 days under alternate wetting and drying, acid attack, and sulphate attack was obtained as 62 MPa, 62.50 MPa, and 66.50 MPa, respectively. Similarly, the percentage loss of weight was obtained as 12.92%, 12.22%, and 6.60% for alternate wetting and drying, acid attack, and sulphate attack, respectively. The findings of the analysis of variance (ANOVA) indicate that the most significant factors influencing the variables C S W D , C S A T , and C S S T are natural aggregate, ferro slag, and curing period. The regression models for C S W D , C S A T , and C S S T are extremely significant, as shown by the ANOVA and Pareto chart analyses.

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Response Surface Methodology Approach to Predict the Flexural Moment of Ferrocement Composites with Weld Mesh and Steel Slag as Partial Replacement for Fine Aggregate

Cited by 5 publications

References 19 publications

Role of extreme vertex design approach on the mechanical and morphological behaviour of residual soil composite

Role of extreme vertex design approach on the mechanical and morphological behaviour of residual soil composite

Prediction on compressive strength of hybrid textile reinforced concrete using response surface methodology

Predicting Strength Properties of High-Performance Concrete Modified with Natural Aggregates and Ferroslag under Varied Curing Conditions

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