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Record W4413802206 · doi:10.1177/13694332251375198

Punching shear failure behaviors of unbonded prestressed slab-column connections: Numerical investigation and code comparisons

2025· article· en· W4413802206 on OpenAlexaboutno aff
Tao Qu, Chang Wu, Linjie Huang, Jing Wu, Tao Geng, Bin Zeng

Bibliographic record

VenueAdvances in Structural Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsnot available
FundersFundamental Research Funds for the Central UniversitiesKey ProgrammeNational Natural Science Foundation of China
KeywordsStructural engineeringSlabPunchingColumn (typography)Prestressed concreteShear (geology)Materials sciencePrecast concreteFailure mode and effects analysisCode (set theory)Finite element methodEngineeringComputer scienceConnection (principal bundle)Composite material

Abstract

fetched live from OpenAlex

Reinforced concrete slab-column (RCS-C) structures are a popular choice due to their flexible layout and space-saving characteristics. However, due to the absence of beams, slab-column structures are prone to developing cracks or noticeable deformation over long-term use. Therefore, the unbonded prestressed slab-column (UBPS-C) structure has become a prevalent solution because it can effectively address the aforementioned issues and is convenient to construct. The connection between the slab and column is the most critical area in slab-column structures. However, construction-stage stacking or service-life overloading may induce punching shear failure in these connections, posing significant risks to both human safety and property integrity. In this study, numerical models of RCS-C connections and UBPS-C connections were developed to investigate their structural behavior and failure mechanisms under punching shear. There is no transverse reinforcement or shear reinforcement in the floor slab. Comparative analysis reveals distinct failure patterns that RCS-C connections demonstrate conventional conical punching failure, whereas UBPS-C connections exhibit a unique peripheral shear failure characterized by circular damage propagation along the outer perimeter. The prestressing tendons are shown to significantly improve both load-carrying capacity and structural ductility. Furthermore, an evaluation of different design codes, including GB 50010-2010 (China), ACI 318-19 (America), CSA A23.3-04 (Canada), Eurocode 2 (EN 1992-1-1) (Europe), and JSCE 15-2007 (Japan), for punching shear resistance prediction, was conducted in the present study. Subsequently, the corresponding suggestions were proposed. GB 50010-2010 is the most conservative, thereby suggesting that the factors should be increased or the effect of reinforcement should be introduced. For ACI 318-19 and CSA A23.3-04 , it is recommended to reduce the upper limit of the prestressing terms to improve performance under high prestressing conditions. The increase in the contribution of prestressing in Eurocode 2 could be considered to obtain superior precision for prestressed slab-column connections. JSCE 15-2007 has been shown to overestimate the positive effects of concrete and reinforcement.

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: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.006
GPT teacher head0.244
Teacher spread0.238 · 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
Published2025
Admission routes1
Has abstractyes

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