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Record W6986429391

Performance Assessment and Design Guidelines for RC Three-Sided Culverts

2021· article· en· W6986429391 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2021
Typearticle
Languageen
FieldComputer Science
TopicAI in Service Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsCulvertPrecast concreteParametric statisticsFinite element methodLimit state designBridge (graph theory)Field (mathematics)Lateral earth pressure
DOInot available

Abstract

fetched live from OpenAlex

Reinforced concrete three-sided culverts (TSCs) are typically produced in large spans, up to 16.0 m, and low-rise profiles to handle heavy flows at sites with limited vertical clearance. Full-scale field studies and numerical analyses investigating TSCs do not exist to date. Accordingly, the current design practices specified in the Canadian Highway Bridge Design Code, CHBDC (CSA, 2014) and the American Association of State and Highway Transportation, AASHTO (AASHTO LRFD, 2014) do not distinguish between small-span box and large-span TSCs. A comprehensive study involving field monitoring and numerical analyses of TSCs is presented in this thesis. Three TSCs were instrumented to measure the soil-culvert interface pressures and the induced strains. The monitored TSCs covered intermediate to large spans, with spans of 7.3 m, 10.4 m, and 13.5 m. Each culvert had a unique geometry and installation method. Field data were collected for the three culverts during and after construction completion. These field measurements were analyzed, and then utilized to verify two-dimensional (2D) finite element (FE) models for the three culverts. The verified numerical models were employed to investigate the influence of many parameters on the applied earth pressures and the structural performance of TSCs at service and ultimate limit states (SLS and ULS). Moreover, three-dimensional (3D) FE models were developed to predict the ultimate capacity of the monitored TSCs precast units. In addition, parametric studies were conducted to investigate the influence of the precast unit width and sidewall height on its structural performance at ULS. The field measurements indicated that the CHBDC (CSA, 2014) overestimates the pressure along the top slab of TSCs for B1 installation. The results of the 2D models showed that the subsurface soil condition influenced the lateral earth pressure on the sidewall only. The sidewall and pedestal heights governed the deformation of the footing-culvert system. Equations have been proposed to estimate the applied earth pressures on large-span TSCs and limits to the midspan vertical deflection are proposed to satisfy the SLS requirements. Finally, the TSC precast units, without soil confinement, exhibited brittle failure.

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)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.011
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0040.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.004

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 head0.273
GPT teacher head0.397
Teacher spread0.123 · 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 designBench or experimental
Domainnot available
GenreMethods

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
Published2021
Admission routes1
Has abstractyes

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