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Record W4402267766 · doi:10.32920/26866534.v1

Analysis of Orthotropic Bridge Decks with Supports Normal to Traffic under Canadian Truck Loading

2024· preprint· en· W4402267766 on OpenAlexaboutno aff
Patrick Fronda

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicInfrastructure Maintenance and Monitoring
Canadian institutionsnot available
Fundersnot available
KeywordsOrthotropic materialTruckBridge (graph theory)Structural engineeringTransport engineeringEngineeringAutomotive engineeringFinite element methodMedicine

Abstract

fetched live from OpenAlex

Orthotropic bridge decks spanning parallel to traffic direction take the form of (i) unidirectional open steel ribs, (ii) open steel grid, (iii) fully/partially filled steel grid, (iv) closed steel ribs, and (v) reinforced concrete slab. While the Canadian Highway Bridge Design Code specifies treating the fifth type as slab bridges with respect to the simplified method of analysis, it does not specify a reliable simplified method of analysis for the other deck types. This may lead to possible error due to neglecting the deck's flexural and torsional rigidity effects. Therefore, a parametric study was conducted, using the Orthotropic Plate Theory, on different deck configurations under truck loading conditions, with key parameters including deck span and width, longitudinal-to-transverse flexural rigidities, and torsional rigidities. The data generated from this research was used to develop reliable equations for the longitudinal and transverse moments, and deflection for use by designers and code writers.

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)0.001
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 score0.914
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.216
Teacher spread0.210 · 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
Published2024
Admission routes1
Has abstractyes

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