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Interfacial Parameters for Bridge Connections at High-Strength Concrete–Ultrahigh-Performance Concrete Interface

2020· article· en· W3005308614 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

VenueJournal of Materials in Civil Engineering · 2020
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCohesion (chemistry)Materials scienceShrinkageComposite materialCompressive strengthBond strengthStructural engineeringDirect shear testShear (geology)Ultimate tensile strengthShear strength (soil)Geotechnical engineeringAdhesiveEngineeringGeologyLayer (electronics)

Abstract

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There has been a rapid increase in the use of ultrahigh-performance concrete (UHPC) in bridge connections and in bridge rehabilitation. When using UHPC in bridge construction, one common recommendation is that UHPC reach a compressive strength of at least 97 MPa before allowing traffic loads. However, bridges are subject to other loads prior to being open to traffic, such as load due to construction equipment, shrinkage, and temperature. The interface bond strength and interfacial parameters, such as adhesion/cohesion and the shear friction coefficients at early ages, are important in determining the ability of connections to resist these types of loads early on after casting. In this study, the interfacial bond strength between high-strength concrete (HSC) and UHPC was determined using pull-off, bi-shear, and slant-shear test methods at different ages. These test methods provide values of bond strength for different stress scenarios at interfaces, and the resulting values of bond strength vary by the test used. The adhesion/cohesion coefficients were calculated using experimental data, and the mean values were found to be in the range of 1.9–3.6 MPa and 3.2–6.5 MPa under tension and shear, respectively. The friction coefficients were found to be in the range of 1.37–1.52 due to tension and 1.07–1.37 due to shear. This research found that the adhesion/cohesion and friction coefficients are much higher than the values reported in AASHTO for initially roughened surfaces.

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 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 score0.135
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 communication0.0000.000
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 head0.017
GPT teacher head0.225
Teacher spread0.208 · 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