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Record W3148396688

Comparative Analysis of Shear Capacity for Reinforced Concrete Members

2010· article· en· W3148396688 on OpenAlexaboutno aff
Tian Lei

Bibliographic record

VenueJianzhu kexue yu gongcheng xuebao · 2010
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsnot available
Fundersnot available
KeywordsStirrupStructural engineeringReinforced concreteBuilding codeShear (geology)Shear strength (soil)EngineeringMaterials scienceGeologyComposite material
DOInot available

Abstract

fetched live from OpenAlex

The effects of the shear-span ratio,concrete strength,longitudinal reinforcement ratio,member height and other factors on shear strength of reinforced concrete members without or with stirrups based on GB 50010—2002,ACI 318-08,EN 1992-1-1:2004,as well as CSA A23.3-04 were comparatively analyzed.Based on a lot of experimental results about shear capacity of reinforced concrete beams,shear capacity calculation formulas were studied,then reliability analysis performed by method of first-order second moment was presented.The maximum or minimum stirrup ratio and stirrup spacing requirements were comparatively analyzed.The results show that average reliability indexes of shear strength for reinforced concrete members without or with stirrups designed according to Chinese code are greater than those of Canadian code,but smaller than ACI code and European code.For the minimum ratios of stirrups,European code is a little greater than Chinese code,and is greater than ACI code and Canadian code.For the maximum spacing of stirrups,the four codes are mostly the same when the member section height is small,with member section height increasing,European code is greater than ACI code and Canadian code,and Chinese code is the smallest.

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)0.001
metaresearch head score (Gemma)0.002
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.262
Teacher spread0.239 · 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
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
Published2010
Admission routes1
Has abstractyes

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Same venueJianzhu kexue yu gongcheng xuebao→Same topicStructural Behavior of Reinforced Concrete→French-language works237,207→