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Record W4392952324 · doi:10.32920/25412758.v1

Truck Load Distribution Factors in Straight and Skewed Precast Shear-connected Adjacent Voided Slab Beam Bridges

2024· preprint· en· W4392952324 on OpenAlexafffundabout
Monish Lad

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPrecast concreteTruckSlabStructural engineeringBeam (structure)Shear (geology)GeologyEngineeringGeotechnical engineeringAutomotive engineering

Abstract

fetched live from OpenAlex

Prefabricated shear-connected voided-slab beam bridges are constructed with shear keys between precast slabs to allow them to share the applied truck load by providing transverse shear continuity along with slab torsional rigidity. Per the 2019 Canadian Highway Bridge Design Code, a simplified method of analysis of these bridges under truck loads is yet unavailable. So, a parametric study, using the grillage method of analysis, was conducted to obtain the fraction of truck load carried by each precast slab as affected by bridge span and width, truck load conditions, skew angle, and support flexibility. Results were presented in the form of moment and shear distribution factors for straight bridges and a skew correction factor for skew bridges and then compared to those found in AASHTO-LRFD Bridge Design Specifications. Based on the results, a set of empirical equations were developed for the fraction of truck loading carried by the precast slab for moment and shear calculations for straight bridges along with recommendation for the skew correction factors for skewed bridges.

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 categoriesMeta-epidemiology (narrow)
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 score0.488
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.011
GPT teacher head0.219
Teacher spread0.208 · 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
Published2024
Admission routes3
Has abstractyes

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