Computational Intelligence for Modeling the Rheological Properties of the Developed Hydrated Lime-Based Alkali-Activated Materials DOI
Sohaib Nazar, Jian Yang, Munir Iqbal

и другие.

Materials Today Communications, Год журнала: 2024, Номер 41, С. 110602 - 110602

Опубликована: Окт. 5, 2024

Язык: Английский

Machine Learning for predicting strength properties of waste iron slag concrete DOI Creative Commons

Matiur Rahman Raju,

Syed Ishtiaq Ahmad, Md Mehedi Hasan

и другие.

Heliyon, Год журнала: 2025, Номер 11(3), С. e42133 - e42133

Опубликована: Янв. 23, 2025

This study investigates the utilization of waste iron slag (WIS) as a sustainable alternative in concrete production to reduce environmental impact and preserve natural resources. The experimental investigation WIS-incorporated focused on compressive tensile strength with machine learning (ML) models for prediction. Among tested ML algorithms, Decision Tree (DT) XGBoost showed highest accuracy (R2 = 0.95135) predicting properties, while like SVM Symbolic Regression underperformed. Experimental results indicate that up 20 % WIS replacement maintains adequate strength, whereas higher proportions structural integrity. A ranking score index cost analysis confirmed technical economic feasibility using concrete. Cost demonstrated substantial savings 25 incorporation, confirming its feasibility. Integrating data predictions highlights WIS's potential applications, enabling optimized mix designs reduced reliance physical testing. Future work should address limitations, including dataset expansion exploration additional durability mechanical properties validate practicality construction further.

Язык: Английский

Процитировано

1

Performance and microstructural characterization of sustainable self-compacting geopolymer concrete with multi-component binders DOI
Naresh Thatikonda,

Mainak Mallik,

S Venkateswara Rao

и другие.

Sustainable Chemistry and Pharmacy, Год журнала: 2025, Номер 44, С. 101926 - 101926

Опубликована: Фев. 6, 2025

Язык: Английский

Процитировано

1

Investigations on mechanical and stress strain characteristics of geopolymer concrete reinforced with glass fibers DOI Creative Commons

Thunuguntla Chaitanya Srikrishna,

Venkatesh Noolu, Sudheer Kumar Reddy Bijivemula

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 21, 2025

Geopolymer concrete (GPC) is an eco-friendly alternative to traditional cement and has sparked widespread interest due its potential reduce CO2 emissions. However, mechanical performance, notably stress-strain behaviour for plain fiber reinforced concrete, been a significant topic development over the last few decades. This study examines parameters of geopolymer with alkali-resistant glass fibers varying aspect ratios (444, 963) volume fractions (0%, 0.1%, 0.2%, 0.3% 0.4% by vol. concrete). A series experimental tests were conducted on viz. split tensile strength, compressive flexural stress vs strain behavior GPC. To examine influence fibers, binder content, aggregate proportions, alkaline activator solution dosage all kept constant. The obtained results indicate that addition alkali resistant improved strengths significantly, optimal performance at volume. curves fiber-reinforced specimens revealed enhanced ductility. An equation was proposed generate curve. Response Surface Methodology technique applied investigate effect length fresh characteristics concrete.

Язык: Английский

Процитировано

1

Structural impact resilience of lightweight fiber-reinforced LECA concrete using ANN and RSM technique DOI Creative Commons
Idris Ahmed Ja’e, Zakaria Che Muda, Hamad Almujibah

и другие.

Construction and Building Materials, Год журнала: 2025, Номер 471, С. 140699 - 140699

Опубликована: Март 8, 2025

Язык: Английский

Процитировано

0

Advanced statistical optimization and performance evaluation of self‐compacting geopolymer concrete utilizing industrial by‐products DOI
Naresh Thatikonda, Mainak Mallik, Venkateswara Rao Sarella

и другие.

Structural Concrete, Год журнала: 2025, Номер unknown

Опубликована: Апрель 10, 2025

Abstract This study optimizes self‐compacting geopolymer concrete (SCGC) by incorporating industrial by‐products, such as fly ash, ground‐granulated blast furnace slag, and rice husk ash (RHA), sustainable alternatives to conventional binders. The SCGC mixtures were designed with varying binder compositions activator solutions, their fresh hardened properties systematically evaluated. Workability tests, including slump flow, J‐ring, V‐funnel conducted assess the flowability stability, while compressive, tensile, flexural strength tests performed at 3, 7, 28 days evaluate mechanical performance. Advanced statistical tools, response surface methodology analysis of variance, employed identify key influencing factors develop predictive models. results indicate that an optimal RHA replacement 5%–10% combined a silica‐rich solution significantly enhances SCGC, achieving 28‐day compressive 55.6 MPa maintaining excellent workability. models demonstrated high accuracy in predicting performance trends, validating experimental findings. provides robust framework for optimizing mix designs advancing high‐performance construction materials.

Язык: Английский

Процитировано

0

Combined effect of jute fiber and corn cob ash on sustainability assessment and mechanical properties of roller compacted concrete using RSM modelling DOI Creative Commons
Naraindas Bheel,

Dileep Kumar,

Fouad Ismail Ismail

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Ноя. 29, 2024

The increasing demand for cement has substantially affected the environment, and its manufacturing requires substantial energy usage. However, most countries in world recently encountered a significant problem. So, researchers are exploring use of agricultural industrial waste resources with cementitious characteristics to minimize manufacturing, cut consumption, contribute environmental protection. Therefore, this research is performed on roller compacted concrete (RCC) reinforced 5%, 10%, 15%, 20% corn cob ash (CCA) as substitution material different percentage 0.25%, 0.50%, 0.75%, 1% jute fibre (JF) together determining mechanical properties embodied carbon (EC) by applying response surface methodology (RSM) modelling. cubical samples were prepared achieve targeted strength about 30 MPa at 28 days then obtained mix proportions employed all combinations various water-cement ratios maintain roller-compacted concrete's zero slump. Results showed that 0.50% JF 10% CCA, flexural strength, splitting tensile compressive strengths, modulus elasticity RCC 5.3 MPa, 3.8 32.88 33.11 GPa days, respectively. Besides, recoded reducing combined addition levels CCA compared control mixture. In addition, generation prediction algorithms was using analysis variance (ANOVA) threshold significance 95%. coefficient determination (R2) readings statistical models ranged from 96 99%. It observed along constituent provides best outcomes. method superior choice construction industry.

Язык: Английский

Процитировано

1

Computational Intelligence for Modeling the Rheological Properties of the Developed Hydrated Lime-Based Alkali-Activated Materials DOI
Sohaib Nazar, Jian Yang, Munir Iqbal

и другие.

Materials Today Communications, Год журнала: 2024, Номер 41, С. 110602 - 110602

Опубликована: Окт. 5, 2024

Язык: Английский

Процитировано

0