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Record W2123779065 · doi:10.3141/2313-09

Evaluation of Cracks in a Spliced, Prestressed Concrete I-Girder Bridge

2012· article· en· W2123779065 on OpenAlex
Dongzhou Huang, Scott Arnold, Bo Hu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTransportation Research Record Journal of the Transportation Research Board · 2012
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsGirderCrackingStructural engineeringBridge (graph theory)Prestressed concreteEngineeringSpan (engineering)Precast concreteBeam bridgeGeotechnical engineeringForensic engineeringMaterials scienceComposite material

Abstract

fetched live from OpenAlex

The purpose of the investigation reported in this paper was to identify the main causes of cracking that occurred in the Cross Florida Barge Canal Bridge, a three-span, continuous, spliced I-girder bridge that comprises spans of 77.7–86.9–77.7 m (255–285–225 ft) located in Citrus County, Florida. This paper briefly describes the bridge and the cracking. It then presents analytical models. Analytical results showed that the maximum vertical tensile force within a girder end zone from longitudinal prestressing strands was nearly 8% of the total prestressing force. The force was significantly higher than that prescribed by AASHTO specifications to determine the quantity of vertical reinforcement required at the ends of pretensioned members. Finally, the paper discusses some recommendations for end zone detailing. The results could help bridge designers provide better bridge detailing and further mitigate cracking in prestressed, spliced I-girders.

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.

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)0.007
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score0.628

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.116
GPT teacher head0.392
Teacher spread0.276 · 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