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Record W4407352943 · doi:10.15866/irece.v15i5.24986

Projection of the Carbonation Depths and its Probability of Corrosion Initiation for the Uncracked and Cracked Concrete

2024· article· en· W4407352943 on OpenAlexfundno aff
Mostafa Hassan, Lamya Amleh, Luaay Hussein

Bibliographic record

VenueInternational Review of Civil Engineering (IRECE) · 2024
Typearticle
Languageen
FieldEngineering
TopicConcrete Corrosion and Durability
Canadian institutionsnot available
FundersNational Research Council Canada
KeywordsCarbonationCorrosionMaterials scienceProjection (relational algebra)Composite materialStructural engineeringEngineeringComputer science

Abstract

fetched live from OpenAlex

This research aims to investigate the impact of different relative humidity on the carbonation depth by using various mathematical models for the carbonation-induced corrosion at different Representative Concentration Pathways (RCPs) of CO2 concentrations. Additionally, the carbonation depth values were conducted for the uncracked and cracked concrete at various RCPs in the future, considering the impact of the relative humidity. Moreover, the probability of corrosion initiation was investigated using the Monte Carlo Simulation method at different percentages of either high or low calcium fly ash ranging from (5% FA to 30% FA) used as Supplementary Cementing Material (SCM) in the concrete mix for RC bridge decks at different concrete covers. Results show that the carbonation depths for the cracked concrete with a crack width of 0.20 mm are higher than that of the uncracked concrete by 126% at various percentages of either high or low calcium fly ash used as SCM in concrete mixes in year 100. The carbonation depths for concrete mix, including 30% of low calcium fly ash, increased by 78.6% compared to a concrete mix with zero percent of the low calcium fly ash, for the unc and cracked concrete with a crack width of 0.2 mm, in year 100. Finally, the probabilities of corrosion initiation values for uncracked concrete are almost constant (approximately equal to zero values) versus various percentages of either high or low calcium fly ash utilized as SCM in the concrete mix for RC bridge decks having a concrete cover of 50 mm in year 100.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.929
Threshold uncertainty score0.301

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.248
Teacher spread0.233 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueInternational Review of Civil Engineering (IRECE)Same topicConcrete Corrosion and DurabilityFrench-language works237,207