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Record W4404657245 · doi:10.1016/j.rineng.2024.103525

Comparative studies on interfacial bond performance of ultrahigh performance concrete (UHPC) for sustainable repair of bridges and pavements

2024· article· en· W4404657245 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueResults in Engineering · 2024
Typearticle
Languageen
FieldEngineering
TopicInnovative concrete reinforcement materials
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMaterials scienceBondComposite materialStructural engineeringEngineeringForensic engineeringCivil engineeringEnvironmental scienceBusiness

Abstract

fetched live from OpenAlex

• This study examined the bond performance at substrate-UHPC interfaces using smooth, exposed aggregate/fiber, and groove surface preparations. • The presence of steel fibers at the interface plays an important role in bond capacity. • The pressure washed and exposed aggregate surface preparations exhibited superior bond performance. Ultra high performance concrete (UHPC) is emerging as an innovative sustainable solution to rehabilitate deteriorated concrete pavements and bridges. In such usage, UHPC may be cast against different substrate materials such as normal strength concrete (NSC) for bridge strengthening and rehabilitation or against high strength concrete (HSC) for shear key connections. UHPC may also be cast against precast UHPC due to the rapid increase in using precast UHPC components. Although the UHPC usage in above applications has recently increased, an investigation of bond performance between UHPC and three different substrate materials have not yet been investigated. The study examined the bond performance between cast-in-place UHPC and three different substrate materials. Three different surface preparations were considered in the current study: smooth, exposed aggregate/fibers and grooved. To generalize the outcomes from the present study, three different test methods including, splitting, bi-shear and slant shear with three different slants were selected. The experimental results demonstrated that the UHPC adhered better with NSC and HSC substrates when the pressure washing was used to expose the aggregate. Meanwhile, the UHPC had better bond with grooved surface preparation of UHPC substrate. The smooth surface should be avoided when UHPC cast against all substrates. Furthermore, the friction coefficients from the codes were overestimated for smooth surface regardless the substrate strengths. However, the design codes provided a conservative estimate for both cohesion and friction coefficients for exposed aggregate/fibers and grooved interface surface preparations.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.404
Threshold uncertainty score0.803

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
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)0.0000.000

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 head0.023
GPT teacher head0.272
Teacher spread0.249 · 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