Utilization of Plastic Waste in Reinforcing Sandy Soil for Sustainable Engineering Applications

SSRN Electronic Journal, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

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Язык: Английский

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Prediction of California Bearing Ratio of nano-silica and bio-char stabilized soft sub-grade soils using explainable machine learning

Transportation Geotechnics, Год журнала: 2024, Номер unknown, С. 101387 - 101387

Опубликована: Окт. 1, 2024

Язык: Английский

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Intelligent mixture optimization for stabilized soil containing solid waste based on machine learning and evolutionary algorithms

Construction and Building Materials, Год журнала: 2024, Номер 445, С. 137794 - 137794

Опубликована: Авг. 22, 2024

Язык: Английский

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Experimental investigation of mechanical properties of problematic expansive soil using copper slag and its statistical validation

Multiscale and Multidisciplinary Modeling Experiments and Design, Год журнала: 2023, Номер 7(3), С. 2147 - 2161

Опубликована: Дек. 27, 2023

Язык: Английский

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A Multifunctional Cementitious Composite for Pavement Subgrade

Опубликована: Дек. 11, 2023

Premature failure and degradation of layers are the main problems for transportation infrastruc-ture. Addressing these issues necessitates implementing structural health monitoring (SHM) layers. This strategic approach is instrumental in mitigating maintenance expenses, prolonging operational lifespan, preventing accidents resulting from abrupt layer col-lapse. To this end, research investigated stress/strain damage detection capabilities a self-sensing cementitious composite developed potential utilization construction an intelligent subgrade layer. The prepared consisted 10% cement hybrid conductive fillers, including multiwalled carbon nanotubes (MWCNTs) graphene nanoplatelets (GNPs) sand. Initial findings reveal that electrical resistivity significantly affected by concentration MWCNTs/GNPs, with minimum more than 0.5% needed to achieve responsive composite. More-over, piezoresistive analysis indicates increase MWCNTs/GNPs stress levels leads improvement sensing perfor-mance. When subjected equivalent levels, variations FCR exhibit increasing trend decreasing resilient modulus, stemming decrease stiffness due increased MWCNTs/GNPs. Additionally, EIS demonstrates contraction Nyquist curves under compressive ramp loading prior failure, followed expansion postfailure. Scanning electron microscopy (SEM) images visually showcase bridging effects MWCNTs filling ef-fects GNPs within structure.

Язык: Английский

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Utilization of Plastic Waste in Reinforcing Sandy Soil for Sustainable Engineering Applications

Journal of Engineering Sciences, Год журнала: 2024, Номер 11(1), С. H1 - H8

Опубликована: Янв. 1, 2024

Large quantities of polyethylene terephthalate (PET) plastic are discarded into the environment during production, application, and disposal. Although current clean-up strategies aim to mitigate adverse impacts PET pollution, efforts struggle keep up with escalating amount waste. This accumulation waste poses significant threats ecosystems worldwide. One recycling method for involves its utilization in soil reinforcement applications within civil engineering. By incorporating reinforce poor-quality sands, sustainable construction practices can be promoted engineering infrastructures, addressing multiple aspects sustainability, including engineering, economic, social, environmental considerations. The experimental work conducted this research involved sieve analysis, proctor compaction test, California Bearing Ratio (CBR) direct shear box test. sand was reinforced varying percentages flakes, namely 5, 10, 15 %, respect weight sample taken laboratory tests were performed on samples. Including flakes enhanced various properties, such as strength friction angle. It also improved CBR value composite, making it suitable pavement construction. reduction dry density further supports application composite lightweight structures. In conclusion, geotechnical material obtained from soil-PET utilized projects, landfills slope stabilization.

Язык: Английский

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Obtaining the California Bearing Ratio Prediction via Hybrid Composition of Random Forest

International Journal of Advanced Computer Science and Applications, Год журнала: 2024, Номер 15(6)

Опубликована: Янв. 1, 2024

Artificial intelligence algorithms have become much more sophisticated, so the most complex and challenging problems can be solved with them. California Bearing Ratio (CBR) is a time-consuming testing parameter, univariate multivariate regression methods are used to address this challenge. Therefore, CBR value an essential parameter in indexing resistance provided by structure's subterranean formation or foundation soil. crucial factor pavement design. However, its determination laboratory conditions process. This makes it necessary look for alternative method estimate soil subgrade, especially developed layers of study has one machine learning (ML) models, including Random Forest (RF), predict CBR. Additionally, some meta-heuristic been improving accuracy optimizing output prediction, consisting Gold Rush optimizer (GRO), Stochastic Paint (SPO), Electrostatic Discharge algorithm (EDA). The results hybrid models were compared via criteria choose desired model. SPO had desirable performance when coupled RF other optimizers, exhibiting high R2 low RMSE.

Язык: Английский

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Expansive clay subgrade soil improvement using municipal solid waste fly ash: Experimental and numerical approach

Environmental Challenges, Год журнала: 2024, Номер 16, С. 100998 - 100998

Опубликована: Авг. 1, 2024

Язык: Английский

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Behaviour of Cement-Stabilised Lateritic Soil: An Experimental Study

Indian geotechnical journal, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 28, 2024

Язык: Английский

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