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Record W4409126587 · doi:10.1515/ntrev-2025-0151

Influence of nano-silica and nano-ferrite particles on mechanical and durability of sustainable concrete: A review

2025· review· en· W4409126587 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNanotechnology Reviews · 2025
Typereview
Languageen
FieldEnvironmental Science
TopicSmart Materials for Construction
Canadian institutionsUniversity of Waterloo
FundersPrince Sattam bin Abdulaziz University
KeywordsDurabilityNano-Materials scienceFerrite (magnet)Composite material

Abstract

fetched live from OpenAlex

Abstract Because cement is the primary component of concrete, the production of concrete results in a significant amount of carbon dioxide emissions. Concrete, thus, has an impact on the environment. Concrete may undergo a change in its nanostructure if it contains even a trace number of nanoparticles (NPs). Constructions made of concrete would be more long-lasting and would have a smaller impact on the environment. Researchers know very little about NPs before they are utilized, and the findings of their investigations have been inconsistent despite the fact that a large number of studies have been conducted. In contrast to the inclusion of metals, NPs, particularly nano-silica (NS) and nano-ferrite (NF), have garnered a lot of attention. Due to the fact that NPs perform more effectively in concrete than metal complexes. To evaluate bids, it is essential to provide background information on the most common methods for the manufacture and fabrication of nanomaterials. The parameters that influence the behavior of NPs in cement-based materials have also been the subject of extensive research. There are also processes for mixing and dispersion, as well as super-plasticizers and nanoparticle agglomeration. The mechanical properties of mixtures containing NPs are also assessed. This encompasses modulus of elasticity, splitting tensile strength, compressive strength, and flexural strength. An assessment is conducted to ascertain the penetration of chloride ions in water, permeability, and fire resistance. This study examines various methods for dispersing NS and NF particles to reduce the probability of agglomeration. The investigation also examines how the buildup of NS particles affects the properties of nano-modified concrete. The study revealed that augmenting the nanoparticle substitution by 3–5% can enhance compressive strength. The hydration process is enhanced by extensively disseminated NPs, which also provide a denser microstructure. The incorporation of NF into concrete enhances tensile strength, permeability, and durability, even at concentrations as minimal as 2%. The graphical abstract encapsulates the research conducted in this article.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.947
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.282
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it