Optimizing flow, strength, and durability in high-strength self-compacting and self-curing concrete utilizing lightweight aggregates

Matéria (Rio de Janeiro), Год журнала: 2024, Номер 29(1)

Опубликована: Янв. 1, 2024

This comprehensive study undertaken to investigate the properties and performance of M60 grade self-compacting self-curing concrete mix designs. The research involved an in-depth analysis various compositions labeled as M1 M16, each with specific aggregate combinations percentages. primary focus was on assessing critical such flow-ability, mechanical, durability micro structural properties. M6, featuring a balanced incorporation fine alternatives (FAA) natural coarse aggregates (NCA), exhibited noteworthy behavior in terms evaluated indicated potential advantages judiciously combining different types achieve desired characteristics. underscored role selection substitution determining overall durability, strength, concrete. These findings contribute improved understanding optimizing designs for achieving enhanced mechanical properties, long-term sustainability. M12 is more superior compared all form fresh study’s outcomes have implications construction industry, offering valuable insights into formulating blends tailored requirements outcomes.

Язык: Английский

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Performance evaluation of cement-based composites containing phase change materials from energy management and construction standpoints

Construction and Building Materials, Год журнала: 2024, Номер 416, С. 135108 - 135108

Опубликована: Янв. 28, 2024

Thermal energy storage in building envelopes is critical to promoting renewable energy, implementation of which requires thermal performance enhancement construction materials. In this regard, phase change materials (PCMs) are often incorporated with cement-based composites (CBCs) materials, most commonly used construction. The current article provides a state-of-the-art review PCM-incorporated CBCs (PCM-CBCs) considering various CBCs, incorporation methods, and their challenges solutions. Additionally, evaluation PCM-CBCs carried out based on thermal, mechanical, durability, sustainability, efficiency, resource conservation-based performances. It was identified that terms performance, natural conservation, the research has been well established, they find vast application TES management systems. On other hand, although healthy data available appraisal mechanical PCM-CBCs, more efforts required control detrimental impact PCM make them durable desirable for where must undergo loading. This consolidated perspective researchers, practitioners, educators working practical.

Язык: Английский

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Carbon Dots for Anti‐Corrosion

Advanced Functional Materials, Год журнала: 2024, Номер 34(48)

Опубликована: Авг. 20, 2024

Abstract Carbon dots (CDs) have garnered extensive attention owing to their excellent biocompatibility, elevated specific surface area, and facile functionalization, as well diverse methods of preparation. In recent times, CDs been applied for anti‐corrosion obtained some significant results. this work, the preparation are first briefly introduced, relative merits different approaches highlighted. Subsequently, application in realm corrosion inhibitors is discussed, inhibition effects mechanism nitrogen‐doped CDs, nitrogen sulfur‐co‐doped functionalized with other elements nitrogen‐co‐doped summarized. Finally, CD‐modified coatings protective analyzed detail. This review summarizes progress research related heteroatom‐doped applications anticipates prospects protection. With unique properties versatile applications, expected assume a progressively pivotal role advancement cutting‐edge protection technologies.

Язык: Английский

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A general and simple method to disperse 2D nanomaterials for promoting cement hydration

Construction and Building Materials, Год журнала: 2024, Номер 427, С. 136217 - 136217

Опубликована: Апрель 18, 2024

Язык: Английский

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Zinc oxide decorated plantain peel activated carbon for adsorption of cationic malachite green dye: Mechanistic, kinetics and thermodynamics modeling

Environmental Research, Год журнала: 2024, Номер 252, С. 119046 - 119046

Опубликована: Май 3, 2024

Язык: Английский

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Performance evaluation of concrete made with plastic waste using multi-expression programming

Materials Today Communications, Год журнала: 2024, Номер 39, С. 108789 - 108789

Опубликована: Апрель 1, 2024

Язык: Английский

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Predictive modelling of compressive strength of fly ash and ground granulated blast furnace slag based geopolymer concrete using machine learning techniques

Case Studies in Construction Materials, Год журнала: 2024, Номер 20, С. e03130 - e03130

Опубликована: Апрель 4, 2024

Ordinary Portland cement (OPC) is proving to be hazardous the environment. To replace OPC, geopolymers (GPs) are introduced. However, fully OPC by GPs extensive laboratory tests required assess long-term and short-term properties of in different scenarios. Given shortage time for performing such testing, artificial intelligence (AI) used analyze GPs. In this study, AI techniques as neuro network (ANN), adaptive neuro-fuzzy inference system (ANFIS), gene expression programming (GEP) obtain predictive models estimating compressive strength fly ash ground granulated blast furnace slag-based GP concrete. Different statistical parameters evaluate performance models. Similarly, sensitivity parametric analysis also conducted on input parameters. Additionally, multiple linear regression was performed whole database. After comparing all results, it concluded that GEP best technique predict GP-based

Язык: Английский

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Predicting the properties of concrete incorporating graphene nano platelets by experimental and machine learning approaches

Case Studies in Construction Materials, Год журнала: 2024, Номер 20, С. e03018 - e03018

Опубликована: Март 2, 2024

Modern infrastructure requirements necessitate structural components with improved durability and strength properties. The incorporation of nanomaterials (NMs) into concrete emerges as a viable strategy to enhance both the concrete. Nevertheless, complexities inherent in these nanoscale cementitious composites are notably intricate. Traditional regression models face constraints comprehensively capturing intricate compositions. Thus, posing challenges delivering precise dependable estimations. Therefore, current study utilized three machine learning (ML) methods, including artificial neural network (ANN), gene expression programming (GEP), adaptive neuro-fuzzy inference system (ANFIS), conjunction experimental investigation effect integration graphene nanoplatelets (GNPs) on electrical resistivity (ER) compressive (CS) containing GNPs. Concrete GNPs demonstrated an fractional change (FCR) strength. measures depict that enhancement was notable at GNP concentrations 0.05% 0.1%, showcasing increases 13.23% 16.58%, respectively. Simultaneously, highest observed FCR reached -12.19% -13%, prediction efficacy proved be outstanding forecasting characteristics For CS, GEP, ANN, ANFIS impressive correlation coefficient (R) values 0.974, 0.963, 0.954, resistivity, exhibited high R-values 0.999, 0.995, 0.987, comparative analysis revealed GEP model delivered predictions for ER CS. mean absolute error (MAE) GEP-CS 14.51% reduction compared ANN-CS substantial 48.15% improvement over ANFIS-CS model. Similarly, displayed MAE 38.14% lower Moreover, GEP-ER 56.80% 82.47% Shapley Additive explanation (SHAP) provided curing age SHAP score. indicating its predominant contribution CS prediction. In predicting ER, content score, signifying estimation. This highlights ML's accuracy properties nanoplatelets, offering fast cost-effective alternative time-consuming experiments.

Язык: Английский

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Application of metaheuristic algorithms for compressive strength prediction of steel fiber reinforced concrete exposed to high temperatures

Materials Today Communications, Год журнала: 2024, Номер 39, С. 108832 - 108832

Опубликована: Апрель 6, 2024

Язык: Английский

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Ultra-light foamed concrete mechanical properties and thermal insulation perspective: A comprehensive review

Journal of CO2 Utilization, Год журнала: 2024, Номер 83, С. 102827 - 102827

Опубликована: Май 1, 2024

Ultra-lightweight foam concrete (ULFC) is a relatively new construction material that has gained attention recently due to its unique properties. This not very heavy and low-density, making it easy form into different shapes sizes. Its excellent thermal insulation makes popular for building walls, roofs, floors. review paper provides an in-depth examination of the properties characteristics ULFC. composition typically consists cement, water, foam, additives, various manufacturing methods used produce it—the mechanical ULFC, including compressive strength. The density ULFC can vary greatly, usually falling between 100 600 kg/m3. diversity this be affected by factors, such as kind number additives applied foaming thickening employed. highlights applications in industry. use TC material, which help reduce heating cooling costs; structural dead loads structures. also discusses challenges associated with production, stability. Foam emits 302–508 kg CO2 per cubic meter, primarily Portland but enhances energy efficiency, reducing household emissions, while advanced recycled materials offer superior acoustic lower environmental impact. Additionally, we examine current research on suggest potential avenues future investigation. aims introduce put forward range cutting-edge original recommendations informative guidelines, ultimate objective directing shaping endeavors focus effectively exploiting utilizing ultra-light foamed concrete.

Язык: Английский

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