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Record W7065475740

Durability of CFRP/Steel Bond in Natural Weather

2023· dissertation· en· W7065475740 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Commons - University of South Florida (University of South Florida) · 2023
Typedissertation
Languageen
FieldEngineering
TopicOptical Polarization and Ellipsometry
Canadian institutionsnot available
Fundersnot available
KeywordsDurabilityBondBond strengthCold climateJoint (building)FixtureTest fixture
DOInot available

Abstract

fetched live from OpenAlex

Fiber reinforced polymers (FRP) are increasingly being used for infrastructurestrengthening and repair of steel structures. Though there have been several durability studies, exposures used are not representative of outdoor service conditions. Fewer studies have explored the effect of changing outdoor conditions typical in infrastructure use. The goal of the research is addressing this gap by evaluating the performance of commercially available CFRP systems under natural weather characteristic of hot, humid tropical conditions mainly and cold weather secondary in three different locations. Thirty CFRP/steel joint specimens were prepared in laboratory conditions and exposed to ambient temperature on the Engineering building roofs in Tampa FL, Knoxville TN, and Hamilton Ontario for a year. The steel surface temperatures were monitored. The durability of CFRP/steel bond was evaluated by pull-off adhesion test. MTS machine was used, and special fixture was designated to test six pull-off points in one specimen. The CFRP/steel bond was tested after 63, 120, 181, 250, and 398 days of exposure in Tampa, and it was tested after 365 days of exposure in Knoxville. The time series was considered to determine degradation with time. In addition, two specimens were painted by reflective paint to investigate the effect of reflective paint on the steel surface temperature and CFRP/steel bond strength for 250 days of exposure in Tampa. The loading fixtures were attached to steel plates without CFRP to conduct the best practice of pull-off test to evaluate the efficacy of pull-off test. The specimens were cured in laboratory conditions for 1, 2, 3, 7, 14, 28 days and tested. The significant variability in the pull-off test is caused by two major reasons; testing error that comes from imperfect cured epoxy dolly or eccentricity that comes from uneven CFRP surface or roughness of the steel surface. The second reason is the construction flaw that comes from entrained air bubbles at epoxy mixing or poorly fiber saturated due to high viscosity. However, after refining the result and analyzing the good tests, the degradation of CFRP/steel bond strength after one year exposure is minimal and no significant difference between Tampa, Knoxville, and Hamilton.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.010
GPT teacher head0.181
Teacher spread0.171 · 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 designObservational
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
Published2023
Admission routes1
Has abstractyes

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