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Record W7062012028

Strengthening reinforced concrete column-slab connection using CFRP sheets.

2004· dissertation· en· W7062012028 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2004
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicAdaptive optics and wavefront sensing
Canadian institutionsnot available
Fundersnot available
KeywordsFlexural strengthReinforced concreteFibre-reinforced plasticCarbon fiber reinforced polymerUltimate loadTension (geology)Enhanced Data Rates for GSM EvolutionColumn (typography)Stub (electronics)
DOInot available

Abstract

fetched live from OpenAlex

Due to the high cost of new construction and the increasing inventory of otherwise adequate structure, the need for repair, strengthening, or reinforced-concrete structures is growing significantly in Canada and worldwide. Fiber reinforced polymer technology has emerged during the past decade as a particular tool to upgrade existing structures. These materials are an excellent option for use as external reinforcing because of their light weight, resistance to corrosion, and high strength. This thesis introduces a strengthening technique of slab-column connection in flat-slab structures to enhance its flexural strength. Six flat-slab column connections were fabricated and then tested under increasing gravity loading up-to-complete collapse to investigate the effectiveness of using carbon fiber reinforced polymer (CFRP) sheets in enhancing their flexural capacity. Each specimen comprised 2000 x 1000 x 150 mm slab, with a 200 x 200 mm column stub extending below and above the slab. The tested specimens consisted of two groups. The first group provided control specimens, on which three specimens had central column, edge column, and eccentric column, respectively. The second group was similar to the first group but with CFRP sheets installed around the column on the tension side of the slab. Different structural quantities were used to examine the contribution of CFRP sheets slab. Different structural quantities were used to examine the contribution of CFRP sheets to the flexural strength of the tested specimens. These structural quantities included deflections, concrete and steel strains, ultimate load carrying capacities and crack patterns. Results from testing showed that the ultimate load carrying capacity increased by 32, 38 and 65% for the tested specimens with central, eccentric, and edge column, respectively, when strengthened using CFRP sheets.Dept. of Civil and Environmental Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2004 .A26. Source: Masters Abstracts International, Volume: 43-01, page: 0261. Advisers: F. Ghrib; K. M. Sennah. Thesis (M.A.Sc.)--University of Windsor (Canada), 2004.

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)0.000
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
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.018
GPT teacher head0.232
Teacher spread0.214 · 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
Published2004
Admission routes1
Has abstractyes

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