Predicting nanocomposite binder improved unsaturated soil UCS using genetic programming

Onyelowe, Kennedy C.; Ebid, Ahmed M.; Onyia, Michael E.; Nwobia, Light I.

doi:10.1007/s41204-021-00134-z

Cited by 22 publications

(3 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Frequently, soil mechanical and structural properties are found to be insufficient according to minimum design and construction standards. This situation often requires stabilization to enhance the required properties (Onyelowe et al, 2021). Numerous studies have investigated the use of various additives, including cement, lime (Firoozi et al, 2017), sodium hydroxide, fly ash geopolymeric binders, ashes, and cementitious binders, to stabilize clayey soils for assessing their effectiveness as soil stabilizers.…”

Section: Introductionmentioning

confidence: 99%

Optimizing properties of clayey soil using lime and waste marble powder: a sustainable approach for engineering applications

Boukhatem,

Bencheikh,

Benzerara

et al. 2024

Front. Mater.

View full text Add to dashboard Cite

Several studies have explored the potential of waste marble powder (WMP) and lime (LM) as solutions for issues associated with clayey soils. While WMP enhances mechanical properties and addresses environmental concerns, LM effectively improves soil characteristics. This research investigates the efficacy of LM and WMP, both individually and in combination, in addressing challenges specific to clayey soils in Bouzaroura El Bouni, Algeria. These soils typically exhibit low load-bearing capacity, poor permeability, and erosion susceptibility. LM demonstrates promise in enhancing soil properties, while WMP not only addresses environmental concerns but also enhances mechanical characteristics, providing a dual benefit. The study utilizes a three-variable experiment employing Response Surface Methodology (RSM) Box-Behnken Design, with variations in clay content (88%–100%), LM treatment (1.5%–9%), and WMP inclusion (1.5%–9%). Statistical analysis, including ANOVA, reveals significant patterns with p-values <5%. Functional relationships between input variables (clay, LM, and WMP) and output variables (cohesion, friction angle, and unconfined compressive strength) are expressed through high determination coefficients (R2 = 99.84%, 77.83%, and 96.78%, respectively). Numerical optimization identifies optimal mixtures with desirability close to one (0.899–0.908), indicating successful achievement of the objective with 88% clay content, 3% LM, and 6% WMP. This study provides valuable insights into optimizing clay soil behavior for environmental sustainability and engineering applications, emphasizing the potential of LM and WMP as strategic additives.

show abstract

Section: Introductionmentioning

confidence: 99%

Optimizing properties of clayey soil using lime and waste marble powder: a sustainable approach for engineering applications

Boukhatem,

Bencheikh,

Benzerara

et al. 2024

Front. Mater.

View full text Add to dashboard Cite

show abstract

“…The most dominant of these experimental setups include slump flow, V-funnel flow, L-box flow, and the Orimet flow models [17,18]. While the slump flow exercise studies the vertical collapse in flow outward flow of the fresh concrete, the V-funnel, the L-box, and the Orimet flow exercises study the standard flow time, passing ratio, and Orimet flow time respectively [19][20][21][22]. However, to achieve the required flowability of the SCC, certain structural materials are introduced into the traditional concrete that changes the behavior of the fresh concrete and its ability to flow [17,[18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

“…While the slump flow exercise studies the vertical collapse in flow outward flow of the fresh concrete, the V-funnel, the L-box, and the Orimet flow exercises study the standard flow time, passing ratio, and Orimet flow time respectively [19][20][21][22]. However, to achieve the required flowability of the SCC, certain structural materials are introduced into the traditional concrete that changes the behavior of the fresh concrete and its ability to flow [17,[18][19][20][21]. These materials could be either cement, fine aggregates, coarse aggregates, and limestone powder or in combination with plasticizers and high-rate waterreducing admixtures [18].…”

Section: Introductionmentioning

confidence: 99%

Predicting the rheological flow of fresh self-consolidating concrete mixed with limestone powder for slump, V-funnel, L-box and Orimet models using artificial intelligence techniques

Onyelowe,

Kontoni,

Ebid

et al. 2023

E3S Web Conf.

View full text Add to dashboard Cite

In this paper, selected materials that influence the viscosity of the self-consolidating concrete (SCC) are introduced like the Limestone Powder (LSP), the High Range Water Reducing Admixture (HRWRA), which reduce the interparticle force between concrete constituents like the aggregates, and other superplasticizers. Moreover, in serious attempts to design the SCC for different infrastructure requirements, there have been repeated laboratory visits, which need to be reduced. In this research paper, the artificial intelligence (AI) methods: Artificial Neural Network (ANN), Evolutionary Polynomial Regression (EPR), and Genetic programming (GP) have been deployed to predict the slump flow (SF), V-funnel flow time (VFFT), L-box ratio (LBR) or passing ratio, and Orimet flow time (OFT) of LSP-admixed SCC. The independent variables of the predictive model were cement, LSP, water, water-binder ratio, HRWRA, sand, and coarse aggregates of 4/8 mm and 8/16 mm sizes. The flow tests were conducted after 5 minutes of waiting time after mixing. The model results showed ANN with superior intelligent learning ability over previous models in terms of overall performance.

show abstract

Assessment of Unconfined Compressive Strength of Stabilized Soil Using Artificial Intelligence Tools: A Scientometrics Review

Sari-Ahmed,

Ghrici,

Benzaamia

et al. 2024

Studies in Systems, Decision and Control

View full text Add to dashboard Cite

Predicting nanocomposite binder improved unsaturated soil UCS using genetic programming

Cited by 22 publications

References 52 publications

Optimizing properties of clayey soil using lime and waste marble powder: a sustainable approach for engineering applications

Optimizing properties of clayey soil using lime and waste marble powder: a sustainable approach for engineering applications

Predicting the rheological flow of fresh self-consolidating concrete mixed with limestone powder for slump, V-funnel, L-box and Orimet models using artificial intelligence techniques

Assessment of Unconfined Compressive Strength of Stabilized Soil Using Artificial Intelligence Tools: A Scientometrics Review

Contact Info

Product

Resources

About