Adaptive neuro-fuzzy inference system prediction model for the mechanical behaviour of rice husk ash and periwinkle shell concrete blend for sustainable construction

Alaneme, George Uwadiegwu; Mbadike, Elvis Michael; Iro, Uzoma Ibe; Udousoro, Iberedem M.; Ifejimalu, William C.

doi:10.1007/s42107-021-00357-0

Cited by 31 publications

(10 citation statements)

References 37 publications

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“…For the admixtures QD and SDA, 86.48–0.23% and 98.37–25.32% are the passing through sieve size of 2 mm–75 µm, respectively. The coefficients of gradation computation are further presented in Table 3 , and the obtained results indicate well-graded sand and gravel particles that also fall within the requirements specified by BS 882 for improved concrete durability performance [ 61 , 62 ].…”

Section: Results Discussion and Analysismentioning

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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Section: Results Discussion and Analysismentioning

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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“…This marks the final phase of the model validation process, where we replicate a real-life scenario to provide essential guidance to designers, contractors, and operators regarding the performance of the developed quadratic model 65 , 66 . The simulation of the model aims to ensure that the validation achieved during statistical diagnostics and inference computations is applicable in real-life situations.…”

Section: Development and Validation Of The Modelmentioning

confidence: 99%

Optimization of cassava peel ash concrete using central composite design method

Iro,

Alaneme,

Attah

et al. 2024

Sci Rep

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Cassava peel ash (CPA) is an abundant agricultural byproduct that has shown promise as an additional cementitious material in concrete manufacturing. This research study aims to optimize the incorporation of CPA in concrete blends using the central composite design (CCD) methodology to determine the most effective combination of ingredients for maximizing concrete performance. The investigation involves a physicochemical analysis of CPA to assess its pozzolanic characteristics. Laboratory experiments are then conducted to assess the compressive and flexural strengths of concrete mixtures formulated with varying proportions of CPA, cement, and aggregates. The results show that a mix ratio of 0.2:0.0875:0.3625:0.4625 for cement, CPA, fine, and coarse aggregates, respectively, yields a maximum compressive strength of 28.51 MPa. Additionally, a maximum flexural strength of 10.36 MPa is achieved with a mix ratio of 0.2:0.0875:0.3625:0.525. The experimental data were used to develop quadratic predictive models, followed by statistical analyses. The culmination of the research resulted in the identification of an optimal concrete blend that significantly enhances both compressive and flexural strength. To ensure the reliability of the model, rigorous validation was conducted using student’s t-test, revealing a strong correlation between laboratory findings and simulated values, with computed p-values of 0.9987 and 0.9912 for compressive and flexural strength responses, respectively. This study underscores the potential for enhancing concrete properties and reducing waste through the effective utilization of CPA in the construction sector.

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“…The compressive strength response is further derived after the required hydration period using the formula presented in Eq. 2 [57,58]. The experimental apparatus for this research methodology is presented in Fig.…”

Section: Concrete Compressive Strengthmentioning

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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Adaptive neuro-fuzzy inference system prediction model for the mechanical behaviour of rice husk ash and periwinkle shell concrete blend for sustainable construction

Cited by 31 publications

References 37 publications

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

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

Optimization of cassava peel ash concrete using central composite design method

Experimental investigation of crude oil contaminated soil for sustainable concrete production

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