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Record W3155079322 · doi:10.1139/cgj-2020-0574

Structural performance of a medium-span RC three-sided culvert based on field measurements and numerical analyses

2021· article· en· W3155079322 on OpenAlexaffvenue
Safwat H. Ramadan, M. Hesham El Naggar

Bibliographic record

VenueCanadian Geotechnical Journal · 2021
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsWestern University
Fundersnot available
KeywordsCulvertPrecast concreteGeotechnical engineeringStructural engineeringFoundation (evidence)Bending momentSlabStrain gaugeFinite element methodSpan (engineering)EngineeringDuctility (Earth science)GeologyLateral earth pressureBendingMaterials scienceCreep

Abstract

fetched live from OpenAlex

The structural performance and soil–structure interaction mechanism of a 7.3 m span, reinforced concrete (RC), three-sided culvert (TSC) with flat top slab are investigated through field monitoring and numerical analyses. The culvert was instrumented with six pressure cells and 14 strain gauges. Data were collected during and after construction. Two-dimensional finite element models were validated against the field measurements. The validated numerical models were then employed to evaluate the effects of the foundation soil condition (yielding or non-yielding) on the applied earth pressures along the culvert profile and the induced straining actions at the base of the culvert’s sidewall. Moreover, the structural performance of TSCs at the ultimate loading condition has been evaluated from the numerical model. The results indicate that for TSC supported on yielding foundation soil, significant bending moment develops at the sidewall base and that the assumption of hinged connection at the base is only realistic for the case of TSCs supported on rock (non-yielding foundation). In addition, the precast unit width was found to have minimal influence on the failure mechanism and the ductility of the precast unit. Finally, failure may occur at a lower backfill height for the non-yielding foundation case relative to the yielding foundation case.

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 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 score0.069
Threshold uncertainty score0.798

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
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 head0.027
GPT teacher head0.240
Teacher spread0.212 · 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

Citations8
Published2021
Admission routes2
Has abstractyes

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