Mechanical behaviour optimization of saw dust ash and quarry dust concrete using adaptive neuro-fuzzy inference system

Alaneme, George Uwadiegwu; Mbadike, Elvis Michael; Attah, Imoh Christopher; Udousoro, Iberedem M.

doi:10.1007/s41062-021-00713-8

Cited by 29 publications

(12 citation statements)

References 45 publications

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“…e uniformity coefficient (C u ) and curvature coefficient (C c ) results are derived from the plot, where D 10 , D 30 , and D 60 are the sizes of particles obtained from the semilog plot that 10%, 30%, and 60% of the test particles are finer, respectively [50]. From the result, we observe that C u for the test materials is > 1 that indicates that the values of D 10 and D 60 are closer to each other that indicates that the particles are in a similar size range or uniformly graded but poorly graded because C u < 4 and C c < 1. e gradation parameters provide valuable details about the particle size distribution and for soil classification purposes, which indicates the effects on the gradation properties when the additives were mixed with the soil samples [32,51].…”

Section: Materials Characterization and Classi Cationmentioning

confidence: 99%

Assessment of Mechanical Properties of Soil-Lime-Crude Oil-Contaminated Soil Blend Using Regression Model for Sustainable Pavement Foundation Construction

Ezeokpube

Ahaneku

Alaneme

et al. 2022

Advances in Materials Science and Engineering

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Oil pollution causes deterioration of the physical, chemical, mechanical, and geotechnical characteristics of affected soil leading to loss of soil productivity for engineering purposes. Different stabilization methods serve as a remedy for such soil to regain its loss engineering properties. This study was concerned with the utilization of lime to stabilize crude oil contaminated soil and to investigate its efficacy for soil stabilization. The study also focused on determining the geotechnical properties of crude oil contamination and matching the result with standard specifications established for engineering works. Hydrated lime, expansive clayey soil, contaminated soil, and potable water were the materials used for the experimental investigation. The contaminated soil was treated with 6.5% lime and 0–20% crude oil contaminated materials obtained from oil exploration sites in North-Eastern Nigeria and per standard test method for laboratory evaluation of consistency limits, compaction properties, California bearing ratio (CBR), and microstructural and mineralogical assessments. The experimental results obtained were further tested statistically through one-way ANOVA and F-statistics to establish the source of variation for the geotechnical properties, while multiple linear regression and correlation statistics helped draw the connection between the consistency limits, compaction, and CBR properties of the soil-lime-COCM blend. Results indicated a coefficient of determination of 99.86. The contaminated soil materials were found to show optimal performance at a 5% ratio and 6.5% of lime for civil construction purposes.

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Section: Materials Characterization and Classi Cationmentioning

confidence: 99%

Assessment of Mechanical Properties of Soil-Lime-Crude Oil-Contaminated Soil Blend Using Regression Model for Sustainable Pavement Foundation Construction

Ezeokpube

Ahaneku

Alaneme

et al. 2022

Advances in Materials Science and Engineering

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“…10). The statistical analysis was completed using Microsoft excel computational software to evaluate the mechanical response and the linear relationships between the blended concrete specimens at 95% confidence interval [69].…”

Section: Discussionmentioning

confidence: 99%

Experimental investigation of crude oil contaminated soil for sustainable concrete production

Ezeokpube

Alaneme

Attah

et al. 2022

Archit. Struct. Constr.

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Contaminated soil materials are often unsuitable for engineering construction works due to high content of impurities which inhibits development of mechanical strength and durability properties. This study was therefore necessary to make available empirical evidence revealing the consequences of crude petroleum pollution on the mechanical characteristics of materials made of concrete and determine its effect on civil engineering works. The study involved collection of contaminated soil sample from the Kolomani oil-well in Bauchi State, Nigeria and laboratory evaluation performed to evaluate the engineering possessions of concrete formed from contaminated soil sample. A calculated ingredient at a proportion of water to cement (W/C) set at 0.5, a mix proportion of 1:1.8:2.7 was used with the fine aggregate content replaced partially with crude oil contaminated soil materials (COCM) from 0-40%. The obtained laboratory results showed rise in compressive strength property as COCM fraction increases with the optimal response of 16.36 N/mm 2 derived at 20% replacement. The experimental results was further subjected to statistical analysis using one-way ANOVA and F-statistics to test the source of variation for the geotechnical properties. Multiple Linear Regression (MLR) and correlation statistics were then used to establish relationship between mix ratios and the geotechnical properties. The results signifies good performance with R-squared of 82.81. The benefits derived from this work would enhance production of sustainable concrete works which can be applicable in large scale for tile production.

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“…The aim of this research was to evaluate green pervious five-component concrete’s flexural strength behavior using Scheffe’s optimization quadratic polynomial model with industrial wastes and their derivatives, namely using sawdust ash (SDA) and quarry dust (QD) as the mineral admixtures [ 24 ]. The benefits derived from this experimental investigation seek to ascertain the optimum combination ratio of the five component mixture ingredients constituting of water, cement, quarry dust, coarse aggregates and sawdust ash as well as assess the SDA and QD effects on the response property through morphological and mineralogical assessments of the blended pervious concrete mixture [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

Scheffe’s Simplex Optimization of Flexural Strength of Quarry Dust and Sawdust Ash Pervious Concrete for Sustainable Pavement Construction

et al. 2023

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Pervious concrete provides a tailored surface course with high permeability properties which permit the easy flow of water through a larger interconnected porous structure to prevent flooding hazards. This paper reports the modeling of the flexural properties of quarry dust (QD) and sawdust ash (SDA) blended green pervious concrete for sustainable road pavement construction using Scheffe’s (5,2) optimization approach. The simplex mixture design method was adapted to formulate the mixture proportion to eliminate the set-backs encountered in empirical or trials and the error design approach, which consume more time and resources to design with experimental runs required to evaluate the response function. For the laboratory evaluation exercise, a maximum flexural strength of 3.703 N/mm2 was obtained with a mix proportion of 0.435:0.95:0.1:1.55:0.05 for water, cement, QD, coarse aggregate and SDA, respectively. Moreover, the minimal flexural strength response of 2.504 N/mm2 was obtained with a mix ratio of 0.6:0.75:0.3:4.1:0.25 for water, cement, QD, coarse aggregate and SDA, respectively. The test of the appropriateness of the developed model was statistically verified using the Student’ t-test and an analysis of variance (ANOVA), and was confirmed to be acceptable based on computational outcomes at the 95% confidence interval. Furthermore, the scanning electron microscopy (SEM) and energy dispersive X-ray (EDX) were used to evaluate the morphological and mineralogical behavior of green prior concrete samples with various additive mixture compositions. The addition of QD and SDA, on the other hand, aided the creation of porous microstructures in the concrete matrix due to fabric changes in the concrete mixture, potentially aided by the formation of cementitious compounds such as calcium aluminate hydrate and calcium silicate hydrate.

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Mechanical behaviour optimization of saw dust ash and quarry dust concrete using adaptive neuro-fuzzy inference system

Cited by 29 publications

References 45 publications

Assessment of Mechanical Properties of Soil-Lime-Crude Oil-Contaminated Soil Blend Using Regression Model for Sustainable Pavement Foundation Construction

Assessment of Mechanical Properties of Soil-Lime-Crude Oil-Contaminated Soil Blend Using Regression Model for Sustainable Pavement Foundation Construction

Experimental investigation of crude oil contaminated soil for sustainable concrete production

Scheffe’s Simplex Optimization of Flexural Strength of Quarry Dust and Sawdust Ash Pervious Concrete for Sustainable Pavement Construction

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