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Record W2298584505 · doi:10.14288/1.0050312

Microfiller effect on rheology, microstructure, and mechanical properties of high-performance concrete

2009· article· en· W2298584505 on OpenAlexaff
Moncef Nehdi

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldEngineering
TopicInnovations in Concrete and Construction Materials
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRheologyMicrostructureMaterials scienceComposite material

Abstract

fetched live from OpenAlex

The objective of this study was to develop a fundamental understanding of the microfiller effect in high-performance concrete. Ultimately, this would help in the development of blended highperformance cements containing recycled materials and industrial byproducts, offering both significant economic advantages and environmental relief. The mechanisms underlying the microfiller effect on the rheology were investigated in cement paste using a coaxial-cylinders viscometer, a mini slump test, the Marsh cone flow time, and a pressure bleed test. They were also studied in mortars using the ASTM flow-table test, and in concrete using a computer-controlled rheometer, a slump-flow test, the conventional slump test, and an induced bleeding test. It was found that microfillers enhance the superplasticizer efficiency because they increase the surface layer water and reduce the bulk water through a reduced void space in the particulate mixture. In the presence of a superplasticizer, microfillers also decrease the viscosity of concrete mixtures; the finer the particle size of the microfiller the greater the decrease. This seems to be due to a reduction of the mechanical interlocking between coarser particles. Ultrafine particles also decrease the bleed water, which reduces the occurrence of bleed channels and low density microstructural features at interfaces. As a result of the above, microfillers make the production of fluid and self-leveling concrete much easier. It was also demonstrated that triple-blended cements containing pozzolanic and non-pozzolanic fillers can achieve superior rheological properties. The microfiller effect on mechanical properties was investigated in mortars and in concrete both at early and later ages. It was discovered that this effect depends on the initial porosity of the system. At very low w/b ratios, partial replacement of cement with non-cementitious fillers would not result in lower density hydration products because the initial porosity is already very low. The hydration reactions in fact yielded denser hydration products. Thus, up to 15% replacement of cement by a non-cementitious filler caused significant increases in strength. This was even more significant in triple-blended cements containing combinations of pozzolanic and non-pozzolanic fillers for which up to 30% partial replacement of cement resulted in significant strength increases. Ultrafine carbonate fillers increased the very early age strength by about one order of magnitude, because certain microfillers appear to present energetically preferential substrates for the germination and growth of calcium hydroxide. Removal of calcium ions from the solution catalyzes the dissolution of C₃S in an attempt to regain equilibrium. This signals an earlier end of the induction period and a faster rate of the hydration reactions at early ages. Quantitative image analysis of backscattered electron micrographs was used to quantify the microfiller effect on the microstructure of high-performance concrete. Analysis was carried out on cement paste and concrete both at Id and at 28d. The acceleration of the hydration reactions at early ages due to carbonate microfillers was confirmed by this technique. Microfillers generally decreased the porosity and refined the microstructural features. This was accompanied by increased strength only when the ratio of inner hydration products to outer hydration products was increased. Densification of the paste-aggregate interface did not seem to necessarily increase the compressive strength. The microfiller effect in high-performance concrete was studied from the standpoint of the theory of particle packing. An insight into particle packing models, the effects of particle packing on rheology, and the effects of particle size distribution on hydration reactions was obtained. A new parameter, the microfiller efficiency factor was developed, based on an estimation of packing density and microfiller effect on hydration rate. A close correlation was found between the microfiller efficiency factor and compressive strength. In addition, a new model relating microstructure to strength was proposed. Most available models relate porosity to strength without accounting for the nature of the solid phase. The model proposed herein considers for the first time a quantitative value representing the nature of the hydration products to help estimate strength. This value is the ratio of the dense inner hydration products to the bulk of the rest of the hydration products. The proposed model achieved good estimations of strength. Overall, this study proposes a new approach to achieving high-strength materials. Traditionally, high strength is obtained through increased cement content, reduced w/b ratios, and high rates of hydration. This work suggests that high strength can be achieved through high initial particle packing combined with a low rate of hydration, which causes less chemical contraction, less drying shrinkage and self dessication stresses, and a higher content of inner hydration products.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.151
Teacher spread0.146 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations15
Published2009
Admission routes1
Has abstractyes

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