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Record W7132993732

The performance and durability of concrete with ternary blends of silica fume and blast-furnace slag

2002· dissertation· W7132993732 on OpenAlexaboutno aff
Roland F. Bleszynski

Bibliographic record

VenueTSpace · 2002
Typedissertation
Language
FieldEngineering
TopicConcrete and Cement Materials Research
Canadian institutionsnot available
Fundersnot available
KeywordsDurabilitySilica fumeSlag (welding)Ternary operationFly ashRheology
DOInot available

Abstract

fetched live from OpenAlex

In a harsh service environment such as Canada's, concrete must be resistant to many physical and chemical deterioration processes. Supplementary cementing materials (SCM's) are commonly employed to increase the durability performance of concrete. However, incorporating a single SCM to improve a concrete's rheology or a specific durability property has associated limitations with its use. Using a single SCM to address one durability concern may result in failure due to another. For example, the replacement level of a single SCM needed to prevent ASR expansion may create other problems or concerns. The incorporation of 50% slag or greater than 20% fly ash needed to ensure adequate protection against ASR may lead to poor resistance to deicer salt scaling. Another example of material incompatibility is the incorporation of silica fume at levels greater than 10% by mass of cement. Such replacement levels are necessary to prevent ASR expansion, but typically lead to problems with the workability of the fresh concrete as well as difficulties adequately dispersing the silica fume. The primary objectives of this study were as follows: (1) To establish effective combinations of Portland cement, silica fume, and blastfurnace slag to mitigate deleterious ASR expansion with Canadian reactive aggregates; (2) To assess the durability performance of ternary blends considering deterioration mechanisms experienced in Canada; (3) To characterize the mechanisms by which silica fume and blastfurnace slag affect ASR in concrete; (4) To provide advice on the use of ternary blends with Canadian reactive aggregates to produce durable and stable concretes. The effectiveness of ternary blends in controlling deleterious expansion due to alkali-silica reaction with Canadian aggregates was assessed, and advice was provided to allow the appropriate selection of ternary blends containing silica fume and blastfurnace slag. The understanding of the effect of ternary blends on pore solution alkalinity, the primary mechanism by which SCM's control ASR expansion, was also furthered. As well, the efficacy by which calcium hydroxide is removed by ternary mixtures (pozzolanically and by dilution) was investigated. Based on expansion testing and mechanisitic studies, predictive empirical and statistical models were developed. Information on the durability performance of ternary blended concrete was provided in both a laboratory setting as well as in an outdoor field exposure setting. Thus providing an opportunity to evaluated and correlated laboratory experience to outdoor field exposure. (Abstract shortened by UMI.)

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 score0.062
Threshold uncertainty score0.123

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 head0.010
GPT teacher head0.261
Teacher spread0.251 · 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".

Quick stats

Citations0
Published2002
Admission routes1
Has abstractyes

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