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Record W2099342228

Effectiveness of calcium nitrate inhibitor (CNI) in cracked concrete

2011· article· es· W2099342228 on OpenAlexaff
Pedro Montes-García, H. Z. López-Calv, Theodore W. Bremner

Bibliographic record

VenueRevista Ingeniería de Construcción · 2011
Typearticle
Languagees
FieldEngineering
TopicConcrete Corrosion and Durability
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsHumanitiesPhysicsPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

En el presente estudio se investigo la eficacia de un inhibidor a base de nitrito de calcio como metodo para prevenir la corrosion de acero de refuerzo en losas de concreto agrietado. Para tal efecto se desarrollo un diseno factorial para evaluar el efecto del agrietamiento en concreto considerando ancho de grieta y relacion agua/cemento como factores. Luego, se evaluo el efecto de una dosis constante de 25 l/m3 de inhibidor de nitrito de calcio(CNI) en concreto con una relacion A/C de 0.4 que contenia diferentes anchos de grieta. La variable respuesta fue la densidad de corrosion obtenida mediante lecturas de resistencia de polarizacion lineal en losas pequenas de concreto armado que tenian recubrimiento de 20 mm. Las losas fueron expuestas a un ambiente marino natural durante cinco anos con dos ciclos de humedecimiento y secado por dia en la bahia de Fundy, Maine, EE.UU. Las muestras tambien fueron inspeccionadas visualmente de manera regular y el dano en la superficie registrado. Se constato que para la mayoria de los casos, el uso de inhibidor a base de CNI fue benefico tanto en concreto agrietado como en no agrietado. Rev. ing. constr. [online]. 2009, vol.24, n.3, pp. 233-244. ISSN 0718-5073.  http://dx.doi.org/10.4067/S0718-50732009000300002

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.249
Teacher spread0.227 · 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 teacher head, not a consensus.

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

Citations3
Published2011
Admission routes1
Has abstractyes

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