MétaCan
Menu
Back to cohort
Record W7108341410 · doi:10.1061/jbenf2.beeng-7163

Framework for Time-Dependent Reliability of GFRP-RC Slab-on-Girder Bridge Decks under Freeze–Thaw and Creep Rupture Effects: Application for Sustainable Designs in Nova Scotia, Canada

2025· article· en· W7108341410 on OpenAlexaffabout

Bibliographic record

VenueJournal of Bridge Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCreepCompressive strengthBridge (graph theory)Nova scotiaFlexural strengthReliability (semiconductor)Ultimate tensile strengthPrecast concrete

Abstract

fetched live from OpenAlex

This paper presents a framework to conduct time-dependent reliability analysis of tension- and compression-controlled flexural design of glass fiber–reinforced polymer (GFRP)-reinforced concrete (RC) slab-on-girder bridge decks. The framework accounts for the cumulative damage in the resistance model through concrete compressive strength degradation due to the freeze–thaw effect and GFRP tensile strength degradation due to creep rupture. It also incorporates site-specific damage parameters and weigh-in-motion (WIM) data. The framework was applied to assess the reliability of in-service bridge decks in Nova Scotia, Canada, and propose alternative designs to reduce the greenhouse gas (GHG) emissions using site-specific WIM data and test results of aged GFRP concrete bending members. Analysis results showed that bridge decks designed using a concrete compressive strength of 35 MPa can yield a design lifetime reliability index greater than 3.5 and a 20% reduction in the GHG emissions compared with bridge decks designed using a concrete compressive strength of 45 MPa. The research findings were utilized by the Nova Scotia Department of Public Works for the design of new bridge decks in the province.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.565
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.007
GPT teacher head0.240
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.

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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Bridge EngineeringSame topicStructural Behavior of Reinforced ConcreteFrench-language works237,207