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This article is based on the research background of an early performance of shotcrete under low-temperature environments. Silica fume (SF) (silicon powder) and nano-CSH are used to improve the effect of the low-temperature environment on the performance of alkali-free (AF) liquid accelerators and early strength of shotcrete. The results show that the 10% SF and 3% nano-CSH composite admixture significantly enhances AF accelerators' performance at 5 °C, reducing initial and final setting times to 3.0 and 10 min, respectively, while substantially improving the early age compressive strength of shotcrete. Furthermore, hydration calorimetry, phase analysis, and microstructural characterization reveal that nano-CSH synergistically enhances silica fume nucleation efficiency.
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http://dx.doi.org/10.1021/acs.langmuir.5c01997 | DOI Listing |
Langmuir
September 2025
State Key Laboratory of Solid Waste Reuse for Building Materials, Beijing Building Materials Academy of Sciences Research, Beijing 100041, China.
This article is based on the research background of an early performance of shotcrete under low-temperature environments. Silica fume (SF) (silicon powder) and nano-CSH are used to improve the effect of the low-temperature environment on the performance of alkali-free (AF) liquid accelerators and early strength of shotcrete. The results show that the 10% SF and 3% nano-CSH composite admixture significantly enhances AF accelerators' performance at 5 °C, reducing initial and final setting times to 3.
View Article and Find Full Text PDFBMC Chem
August 2025
Faculty of Science, Department of Chemistry-Giza, Cairo University, Giza, Egypt.
The development of low-cost, efficient and stable electrocatalysts for oxygen reduction reaction is critical for advancing energy conversion and storage technologies. The oxygen reduction reaction (ORR) is a key electrochemical process in energy conversion systems, particularly in fuel cells, where it governs the overall efficiency of the device. This study explores the electrochemical performance of a novel carbon paste electrode (CPE) modified with silica fume (SF), polyaniline (PANi), and iron nanoparticles (FeNPs) for potential application in fuel cells and supercapacitors.
View Article and Find Full Text PDFSci Rep
August 2025
Department of Civil Engineering, Faculty of Engineering, Al-Baha University, Alaqiq, 65779, Saudi Arabia.
The accurate prediction of compressive strength (CS) in steel fiber reinforced concrete (SFRC) remains a critical challenge due to the material's inherent complexity and the nonlinear interactions among its constituents. This study presents a robust machine learning framework to predict the CS of SFRC using a large-scale experimental dataset comprising 600 data points, encompassing key parameters such as fiber characteristics (type, content, length, diameter), water-to-cement (w/c) ratio, aggregate size, curing time, silica fume, and superplasticizer. Six advanced regression-based algorithms, including support vector regression (SVR), Gaussian process regression (GPR), random forest regression (RFR), extreme gradient boosting regression (XGBR), artificial neural networks (ANN), and K-nearest neighbors (KNN), were benchmarked through rigorous model validation processes including hold-out testing, K-fold cross-validation, sensitivity analysis, and external validation with unseen experimental data.
View Article and Find Full Text PDFSci Rep
August 2025
Department of Civil & Environmental Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.
This study investigates chloride ion penetration and service life (SL) prediction in concrete, highlighting the role of supplementary cementitious materials (SCMs), such as silica fume (SF) and ground granulated blast furnace slag (GGBFS). Finite element (FE) simulations using COMSOL Multiphysics were performed with both constant and time-dependent chloride diffusion coefficients obtained from experimental data. Four concrete mixtures with varying water-to-binder (w/b) ratios and SCM contents were tested.
View Article and Find Full Text PDFPLoS One
August 2025
Kashi University, School of Civil Engineering, Xinjiang Kashi, China.
To study the mechanical properties and microscopic morphology of salt-affected soil after being improved by fiber types and contents, the article analyzes the unconfined compressive strength and shear strength of the sulfate-affected soil in Kashi, Xinjiang, China, which four different fiber contents have improved. Some samples are tested by scanning electron microscope (SEM) and nuclear magnetic resonance (NMR) microanalysis. The article selects the sample with the highest improved unconfined compressive strength for dry-wet cycling and dissolution test.
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