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Punching Shear Behavior of Externally Prestressed Concrete Slabs

2010· article· en· W2036827297 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Structural Engineering · 2010
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversity of TorontoNational Research Council CanadaWestern University
FundersNatural Sciences and Engineering Research Council of CanadaCement Association of Canada
KeywordsPrestressed concretePunchingStructural engineeringMaterials scienceShear (geology)Composite materialEngineering

Abstract

fetched live from OpenAlex

The use of externally post-tensioned fiber-reinforced concrete decks in highway bridge structures is seen as a viable option in the move toward the design and construction of high-performance structures. However, with the thin unreinforced deck slabs that may result, punching shear is a potential concern. An experimental program is described in which the punching shear behavior of externally prestressed slabs is investigated, both with plain and fiber-reinforced concrete specimens. Results indicate that significant improvements in strength, ductility, energy absorption and nonbrittleness of failure can be achieved with fiber reinforcement. Nonlinear finite-element analysis procedures are used to model the specimens, and reasonably accurate simulations of behavior are obtained. Design code procedures are found to be unconservative in estimating the punching shear strength of these elements, whereas a commonly used analytical model is found to be overly conservative.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.005
GPT teacher head0.210
Teacher spread0.205 · 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