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Record W1989751907 · doi:10.1139/l08-130

Investigation of shear resistance of steel bridge girders by load testing and monitoring of load response data under highway traffic conditions

2009· article· en· W1989751907 on OpenAlexaffvenueabout
Alexander Au, Clifford Lam, Bala Tharmabala

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2009
Typearticle
Languageen
FieldEngineering
TopicRailway Engineering and Dynamics
Canadian institutionsMinistry of Transportation of Ontario
Fundersnot available
KeywordsGirderStructural engineeringTruckChristian ministryEngineeringBridge (graph theory)AxleStructural loadShear (geology)Geotechnical engineeringLoad testingTest dataMaterials scienceComposite materialAutomotive engineering

Abstract

fetched live from OpenAlex

A recent strength evaluation of the Hogg’s Hollow Bridge on Highway 401 in Ontario revealed a significant deficiency in the shear resistance of the existing girders at support locations. This was attributed to the absence of transverse stiffeners at the extreme ends of the girders. However, none of the bridge girders showed any signs of distress. The Ontario Ministry of Transportation recently conducted a field study to investigate this shear issue in greater detail. To that end, a test program was devised to (a) monitor the real stresses in the end panels of two selected girders in the Hogg’s Hollow Bridge when subjected to (i) a test truck with known axle loads and (ii) normal highway traffic loading, and (b) calibrate the observed stresses against theoretically expected responses in the girders and calculate the live load capacity factor using the shear data derived from the field measurements.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score0.852

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 head0.021
GPT teacher head0.209
Teacher spread0.188 · 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

Citations2
Published2009
Admission routes3
Has abstractyes

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