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Record W4206116782 · doi:10.32920/ryerson.14657106.v1

Environmental And Age-Related Deterioration Of Concrete Median Barriers

2021· preprint· en· W4206116782 on OpenAlexaboutno aff
Kavitha Madhu

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicConcrete Properties and Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsUltimate tensile strengthMaterials scienceYoung's modulusGeotechnical engineeringCompressive strengthStructural engineeringThermalVolume (thermodynamics)ModulusTransient (computer programming)Environmental scienceComposite materialGeologyEngineeringComputer scienceThermodynamics

Abstract

fetched live from OpenAlex

The purpose of this research was to understand the time-dependent environmental and age-related deterioration mechanisms in the un-reinforced concrete barrier walls used in Ontario. The study concentrated mainly on the response of plain concrete barrier walls to time-dependent thermal loads and associated volume changes. The research involved temperature data collection, experimental study and numerical analysis. The temperature data was collected on an hourly basis from the temperature sensors installed in a live plain concrete barrier wall. In the experimental study, concrete samples were exposed to varying temperature and environmental conditions and tested to monitor the deviation of significant concrete parameters like compressive strength, tensile strength, modulus of elasticity etc. Based on the results from the experimental study and the temperature data collected from the sensors, a non-linear transient thermal and structural analysis was carried out on a three-dimensional model, developed using ANSYS program, for a time period of three years.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.137

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 head0.007
GPT teacher head0.179
Teacher spread0.172 · 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 designObservational
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
Published2021
Admission routes1
Has abstractyes

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