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Record W2466871129 · doi:10.1080/19386362.2016.1198109

Axial and lateral load transfer of fibre-reinforced polymer (FRP) piles in soft clay

2016· article· en· W2466871129 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

VenueInternational Journal of Geotechnical Engineering · 2016
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsCarleton University
Fundersnot available
KeywordsFibre-reinforced plasticPileMaterials scienceGeotechnical engineeringStructural engineeringStiffnessWavinessComposite materialDisplacement (psychology)GeologyEngineering

Abstract

fetched live from OpenAlex

This paper presents the results of an experimental investigation on the performance of fibre-reinforced polymer (FRP) piles in soft clay. The load transfer behaviour of small-scale FRP piles manufactured using either glass or carbon fibres is analysed and compared to that of traditional steel piles, in order to assess the viability of FRPs as piling materials. In addition, the effects of FRP material and fibre orientation on pile behaviour are investigated with the goal of identifying the optimal conditions for best performance. In all cases, the FRP piles present higher or at least similar capacity compared to steel piles. FRP surface topology, pile texture and waviness pattern dictated by the fibre weaving and orientation were found to exert a significant influence on the pile axial capacity. The lower stiffness of the FRP piles leads to increased pile head displacement under lateral loading compared to steel piles.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.493

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 head0.006
GPT teacher head0.211
Teacher spread0.205 · 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