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Record W4400234982 · doi:10.11159/iccste24.249

Orthotropic plate analysis model for estimating live load moment and deflections in reinforced concrete bridge deck slabs between longitudinal girders

2024· article· en· W4400234982 on OpenAlexvenueaboutno aff
Kousai Razouk, Aravindan Ramadoss, Khaled Sennah, Ahmed Hamed

Bibliographic record

VenueProceedings of the International Conference on Civil, Structural and Transportation Engineering · 2024
Typearticle
Languageen
FieldEngineering
TopicStructural Health Monitoring Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsStructural engineeringOrthotropic materialGirderDeckBridge (graph theory)Moment (physics)Bridge deckEngineeringReinforced concreteStructural loadFinite element methodPhysics

Abstract

fetched live from OpenAlex

The equation for calculating the applied transverse moment in reinforced concrete deck slab in slab-on-girder bridges under truck loading in the Canadian Highway Bridge Design Code is dated back to 1930.It does not include the effect of the transverse-tolongitudinal flexural stiffness and the torsional stiffness.In addition, the code does not provide equations for the longitudinal moment and deflection.This paper presents the application of the orthotropic plate theory to determine the applied transverse and longitudinal moment and deflection under different truck loading conditions.The key parameters considered in this study included the slab span ranging from 1 m to 4 m, single-or two-lane loaded with Canadian trucks, different truck axles, and transverse-to-flexural stiffness ratios ranging from 1 to 4. The data generated from this study was used to develop empirical equations for the transverse and longitudinal moments for ultimate and fatigue limit state design and deflection for serviceability limit state design.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.034
GPT teacher head0.289
Teacher spread0.255 · 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 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 routes2
Has abstractyes

Explore more

Same venueProceedings of the International Conference on Civil, Structural and Transportation EngineeringSame topicStructural Health Monitoring TechniquesFrench-language works237,207