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Record W4415960463 · doi:10.1016/j.istruc.2025.110519

Comparative structural behaviour of steel and GFRP reinforced box culverts

2025· article· en· W4415960463 on OpenAlexaff
Hazem Shebl, Omar Alajarmeh, Allan Manalo, Reza Hassanli, Brahim Benmokrane, Charles-Dean Sorbello, Senarath Weerakoon, Paul S. Adams, Darren Lutze

Bibliographic record

VenueStructures · 2025
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsUniversité de Sherbrooke
FundersCooperative Research Centres, Australian Government Department of Industry
KeywordsCulvertFibre-reinforced plasticBox girderReinforced concrete

Abstract

fetched live from OpenAlex

This paper studies the structural behaviour differences when steel reinforcement in an inverted U-shape precast concrete culverts is directly replaced with GFRP bars using identical configurations, providing a systematic comparative evaluation of structural, serviceability and ultimate performance, providing guidance to practicing engineers. The AS 1597.1 type testing process for roadway small box culverts was used to assess a steel control culvert and two full-scale GFRP-RC culverts with a height of 600 mm and a clear span of 1232 mm. The first GFRP culvert used the same reinforcement setup as the steel reinforced one, while the second had identical reinforcement but with a reduced cover to 25 mm from 35 mm. Direct substitution of steel with GFRP achieved 84 % of the steel culvert's ultimate capacity, though the GFRP culvert still exceeded design requirements by 15 %. The reduced cover specimen performed notably better, reaching 92 % of steel capacity. Serviceability requirements governed the behaviour rather than ultimate strength. At service loads, crack widths increased from 0.25 mm in steel to 0.74 mm with direct GFRP substitution but decreased to 0.31 mm when cover was reduced to 25 mm, nearly matching steel performance. While GFRP specimens exhibited larger deflections due to lower elastic modulus, traditional limits may be too restrictive for buried structures. These results suggest that current cover requirements intended for steel corrosion protection unnecessarily penalize GFRP culvert performance. All tested culverts failed in punching shear, with the GFRP bars only being at 33–37 % of their tensile strength at failure, and with the punching shear load predicted accurately considering it was calibrated on the results of four-sided culverts.

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)0.000
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 score0.642
Threshold uncertainty score0.766

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.236
Teacher spread0.230 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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