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Record W2940410126 · doi:10.29173/mocs58

Pull-out tests of a new hooked steel-GFRP composite connector in precast concrete sandwich panels

2017· article· en· W2940410126 on OpenAlexvenueno aff
Dongzhi Guan, Zhengxing Guo, Huanzhi Jiang, Dan Ju

Bibliographic record

VenueModular and Offsite Construction (MOC) Summit Proceedings · 2017
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsnot available
FundersFundamental Research Funds for the Central UniversitiesNational Natural Science Foundation of China
KeywordsCable glandPrecast concreteStructural engineeringMaterials scienceComposite numberFibre-reinforced plasticComposite materialEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

A new hooked steel-GFRP composite connector was proposed for precast concrete sandwich panels. The new connector consisted of a steel core and glass fiber-reinforced polymer (GFRP) as outer covering layers processed by injection molding machines. It was intended to connect the inner and outside layers of precast concrete sandwich panels with high structural performance, low thermal conductivity and ease of installation. To investigate the anchoring capacity of the new connector in concrete, pull-out tests were carried out on total 9 test specimens. Experimental results were analysed including pull-out strength, failure pattern, load-slip curve and load-strain curve etc. Results show that all the test specimens fail with the pattern of pulling out of concrete cone. Slippages between the connectors and concrete remain negative when the specimens were damaged. Hook of the connector linking the intersection of reinforcing bars improve the pull-out capacity significantly. The pulling-out capacity of the new connectors increase with the increment of concrete strength grade; and the average pulling-out capacity of the connectors become more than 5 times pulling-out load required by the Chinese code.

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 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 score0.241
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 science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.235
Teacher spread0.217 · 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.

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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueModular and Offsite Construction (MOC) Summit ProceedingsSame topicStructural Behavior of Reinforced ConcreteFrench-language works237,207