Scheffe optimization of swelling, California bearing ratio, compressive strength, and durability potentials of quarry dust stabilized soft clay soil

Onyelowe, Kennedy C.; Alaneme, George Uwadiegwu; Igboayaka, Clifford; Orji, Francis; Ugwuanyi, Henry; Van, Duc Bui; Van, Manh Nguyen

doi:10.1016/j.mset.2018.10.005

Cited by 33 publications

(17 citation statements)

References 16 publications

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“…It tends to suddenly expand and swell when in contact with water and shrink when it losses moisture due to its physicochemical properties. The presence of clay minerals, over-consolidation of soil, intrinsic stresses emission and hydration of cations on the clay surface generally influences the soil's swelling properties; while on drying through desiccation, the volume of the soil reduces followed by built up of internal stresses in the shrunken or dried soil mass resulting to cracks, which appear in weakness planes within the expansive soil [4][5].…”

Section: Introductionmentioning

confidence: 99%

ANFIS Prediction Model for the Mechanical Properties of Soil and Activated Rice Husk Ash Blend for Sustainable Construction

Onyelowe

Mbadike

Onyia

et al. 2021

Preprint

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Adaptive neuro-fuzzy inference system (ANFIS), which integrates both Takagi-Sugeno fuzzy logic and neural network principles and also captures their benefits in a single framework was deployed for the modelling of the mechanical strength behaviour of expansive clayey soil treated with hydrated-lime activated rice husk ash (HARHA). The compaction properties, consistency limits and the activated ash (HARHA) were the predictors while CBR and UCS were the targets in this evolutionary model. The advantages of artificial intelligence techniques deployment in geotechnical research is to deal with the complex challenges associated with effectiveness in construction materials’ utilization so as to achieve optimal assessment of geotechnical materials’ behaviour and sustainable engineering design. ANFIS model development were carried out with 35 data sets derived from the experimental responses with respect to varying proportions of HARHA treatment from 0% to 12%. 25 and 10 datasets were used for training and testing the network respectively. The California bearing ratio (CBR) and unconfined compressive strength (UCS) were the target response while the HARHA replacement ratio, compaction and consistency limits properties were the input variables of the developed model. The model evaluation results obtained using statistical tools showed mean absolute error (MAE) of 0.582 and 0.7196, root mean square error (RMSE) of 0.6198 and 0.9004, mean square error (MSE) of 0.384 and 0.811, and coefficient of determination (CoD) value of 0.9973 and 0.9992 for CBR and UCS response parameters respectively. The results obtained indicates a very good performance in terms of prediction accuracy. This shows that ANFIS provides the flexibility in achieving sustainable geotechnical materials integration in civil works.

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Section: Introductionmentioning

confidence: 99%

ANFIS Prediction Model for the Mechanical Properties of Soil and Activated Rice Husk Ash Blend for Sustainable Construction

Onyelowe

Mbadike

Onyia

et al. 2021

Preprint

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“…It is widely known to constitute nuisance wherever it is found. Researchers often seek ways to recycle QD so that the environmental challenges it poses can be minimized 76,77 . The oxide composition of the QD utilized by Ikeagwuani 18 is presented in Table 2.…”

Section: Methodsmentioning

confidence: 99%

Min‐max fuzzy goal programming ‐ Taguchi model for multiple additives optimization in expansive soil improvement

Ikeagwuani

Nwonu

Onah

2020

Num Anal Meth Geomechanics

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This present study optimizes multiadditives for the improvement of the properties of expansive soil by integrating min‐max fuzzy goal programming model, a variant of fuzzy goal programming, into Taguchi optimization method. The multiadditives, which included ordinary Portland cement (OPC), quarry dust (QD), and sawdust ash (SDA), had various levels assigned to them in the Taguchi designed experiment, and they were all added by air‐dried weight of the expansive soil. Responses that included differential free swell, California bearing ratio, and unconfined compressive strength were determined using the Taguchi designed experiment. Concurrent analysis of the data obtained from the responses was performed using the min‐max fuzzy goal programming and the optimum combinations of additives that resulted in the significant improvement of the soils were obtained at 20% SDA, 20% QD, and 8% OPC. In addition, scanning electron micrograph analysis for the expansive soil that was combined with the optimum combination of additives showed cementitious compound formation in the soil‐additives mixtures and this confirmed lucidly that min‐max fuzzy goal programming can be integrated in Taguchi method to optimize additives for the improvement of expansive soil properties.

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“…e closest this technique under consideration was applied in geotechnics was on the bearing capacity problem of a foundation on a slopy surface, and this parametric and nondimensional algorithm was greatly useful in resolving the applied force uncertainties of footings on slopes [13,14]. Other smart methods have been applied in different protocols of soil stabilization and civil earthworks in general, like Scheffe optimization, extreme vertices, analysis of variance, multiple regression, back-propagation artificial neural network, fuzzy logic, and ANN, and the results have also shown that these numerical, analytical, and statistical methods of soil properties simulation proffer sustainable means of studying the performance of engineering systems [1,[15][16][17].…”

Section: I[f(x)]mentioning

confidence: 99%

Application of Calculus of Variation in the Optimization of Functional Parameters of Compacted Modified Soils: A Simplified Computational Review

Onyelowe

2021

Mathematical Problems in Engineering

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Fixed endpoint problems (FEPPs) in constrained systems like the effect of curing time or the effect of certain additives in soil stabilization operations have been reviewed illustratively for sustainability purposes in geotechnics. The calculus of variation (CoV) technique of Hamilton’s problem was demonstrated using a typical case in geotechnics; the effect of curing time on the unconfined compressive strength of expansive soils is utilized as foundation materials. The era of smart technologies is evolving, and to key into this fast-moving area to help the field of geotechnics, it is required that these new areas are deployed to study their usefulness. The use of CoV in modeling or simulating geotechnical properties of soil behavior is not prominent and has been played down due to the uncertainties surrounding it. However, this work has identified that if any geotechnical system can be demonstrated in graphs, then the use of CoV becomes easy with the mathematical concept that curves are elements of straight paths. The results of this work show that CoV is a powerful tool to achieving sustainable optimization of quality properties of stabilized for sustainable and optimal materials handling, design, and construction.

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Scheffe optimization of swelling, California bearing ratio, compressive strength, and durability potentials of quarry dust stabilized soft clay soil

Cited by 33 publications

References 16 publications

ANFIS Prediction Model for the Mechanical Properties of Soil and Activated Rice Husk Ash Blend for Sustainable Construction

ANFIS Prediction Model for the Mechanical Properties of Soil and Activated Rice Husk Ash Blend for Sustainable Construction

Min‐max fuzzy goal programming ‐ Taguchi model for multiple additives optimization in expansive soil improvement

Application of Calculus of Variation in the Optimization of Functional Parameters of Compacted Modified Soils: A Simplified Computational Review

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