A comprehensive review on the applications of carbon dots in civil engineering materials

Journal of Materials Science, Journal Year: 2025, Volume and Issue: 60(7), P. 3227 - 3252

Published: Feb. 1, 2025

Language: Английский

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Effect of Graphene Quantum Dots (GQDs) on the mechanical, dynamic, and durability properties of concrete

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 441, P. 137597 - 137597

Published: July 26, 2024

Language: Английский

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Advanced cement composites: Investigating the role of graphene quantum dots in improving thermal and mechanical performance

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 96, P. 110556 - 110556

Published: Aug. 24, 2024

Language: Английский

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Prediction of flexural strength in FRP bar reinforced concrete beams through a machine learning approach

Anti-Corrosion Methods and Materials, Journal Year: 2024, Volume and Issue: 71(5), P. 562 - 579

Published: June 28, 2024

Purpose The purpose of this study is to assess the incorporation fiber reinforced polymer (FRP) bars in concrete as a reinforcement enhances corrosion resistance structure. However, FRP are not practically used due lack standard codes. Various codes, including ACI-440-17 and CSA S806-12, have been established provide guidelines for reinforcement. application these codes may result over-reinforcement. Therefore, research presents use machine learning approach predict accurate flexural strength beams with 408 experimental results. Design/methodology/approach In research, input parameters width beam, effective depth compressive strength, bar elastic modulus tensile strength. Three algorithms, namely, gene expression programming, multi-expression programming artificial neural networks, developed. accuracy developed models was judged by R 2 , root means squared mean absolute error. Finally, conducts prismatic analysis considering different parameters. percentage bottom Findings networks model most prediction (99%), lowest error (2.66) (1.38). addition, SHapley Additive exPlanation depicts that influential beam. findings recommend special attention should be given Originality/value Previous studies revealed significantly influenced factors such beam width, depth, bars’ substantial database comprising results considered compiled, simple reliable proposed. compared traditional it can noted much more than

Language: Английский

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The influence of olive kernel ash obtained from canning factory as a bitumen modifier

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 441, P. 137532 - 137532

Published: July 24, 2024

Language: Английский

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Enhancing performance and sustainability of GGBFS-based self-compacting geopolymer concrete blended with coal bottom ash and metakaolin by using RSM modelling

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Aug. 26, 2024

This research study is performed on the self-compacting geopolymer concrete (SCGC) combining coal bottom ash (CBA) and metakaolin (MK) as a substitution for GGBFS alone combined analysing fresh properties (slump flow, V-Funnel, T50 flow), mechanical characteristics (compressive, splitting tensile flexural strengths) durability tests (permeability sulfate attack test). Though, total 195 SCGC samples were made tested 28 days. It has been revealed that consumption of CBA MK combine in production decreased workability while are enhanced by utilizing up to 10%. In addition, compressive, strengths calculated 59.40 MPa, 5.68 6.12 MPa using 5CBA5MK after days correspondingly. Furthermore, permeability growing quantity weight jointly Besides, minimum change length specimen recorded 0.062 mm at 7.5MK7.5CBA maximum 0.11 10CBA10MK 180 embodied carbon reduce addition it getting higher when accumulation or with SCGC. response models prediction constructed confirmed ANOVA an accuracy rate 95%. The models' R

Language: Английский

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Development of high-dispersion CLDH/carbon dots composites to boost chloride binding of cement

Cement and Concrete Composites, Journal Year: 2024, Volume and Issue: 152, P. 105669 - 105669

Published: Sept. 1, 2024

Language: Английский

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Non-linear finite element analysis of SFRC beam-column joints under cyclic loading: enhancing ductility and structural integrity

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Aug. 5, 2024

Brittle shear failure of beam-column joints, especially during seismic events poses a significant threat to structural integrity. This study investigates the potential steel fiber reinforced concrete (SFRC) in joint core enhance ductility and overcome construction challenges associated with traditional reinforcement. A non-linear finite element analysis (NLFEA) using ABAQUS software was conducted simulate behavior SFRC joints subjected cyclic loading. Ten simulated specimens were analyzed discern impact varying volume fraction aspect ratio on performance. Key findings reveal that 2% fibers significantly improves post-cracking by promoting ductile failure, thereby increasing toughness. While variations showed minimal load capacity, long thin effectively bridge cracks, delaying their propagation. Furthermore, content resulted higher peak-to-peak stiffness. research suggests strategically incorporating can promote toughness, reduce complexities eliminating need for congested hoops. Overall, developed NLFEA model proves be valuable tool investigating design parameters under

Language: Английский

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Study on durability of concrete under alternating positive and negative temperature curing in plateau area

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 436, P. 137008 - 137008

Published: June 10, 2024

Language: Английский

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Mechanical properties, microstructure and GEP-based modeling of basalt fiber reinforced lightweight high-strength concrete containing SCMs

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 96, P. 110378 - 110378

Published: Aug. 8, 2024

Language: Английский

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