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Record W4410799858 · doi:10.1016/j.cscm.2025.e04844

Low-velocity impact and post-impact flexural behavior of novel concrete seawall panels reinforced with composite GFRP bars

2025· article· en· W4410799858 on OpenAlexafffund
Ezgi Bal Yetim, Omar Alajarmeh, Allan Manalo, Weena Lokuge, Dmitry Yatsenko, Brahim Benmokrane

Bibliographic record

VenueCase Studies in Construction Materials · 2025
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversité de Sherbrooke
FundersAdvance QueenslandNatural Sciences and Engineering Research Council of CanadaUniversity of Southern Queensland
KeywordsSeawallFibre-reinforced plasticComposite numberFlexural strengthMaterials scienceComposite materialStructural engineeringImpact resistanceGeotechnical engineeringEngineering

Abstract

fetched live from OpenAlex

Glass-Fiber-Reinforced Polymer (GFRP) bars can be used to reinforce concrete seawall structures, but there is a notable gap in the existing research regarding seawall’s impact behavior with GFRP bars. This study designed a novel GFRP-reinforced concrete seawall panel reinforced with composite GFRP bars and comprehensively analyzed their low-velocity impact behavior caused by vessel collisions for all impact characteristics: impact force, acceleration, mid-deflection, energy absorption, and strains. Furthermore, three-point flexural test evaluated the post-impact flexural behavior of the panels. The findings indicate that GFRP-reinforced seawall panels can withstand impact forces up to 1.5 m drop height (4415 J) without local and scabbing failure. The mid-deflection, total energy absorption (87%), and the proportion of energy absorbed by GFRP bars increased with increasing drop height, whereas the ratio of energy absorption absorbed by concrete decreased significantly after 1.5 m. None of the GFRP bars ruptured even at the highest impact energy (5886 J), with maximum measured strain being 72% of the GFRP-bar rupture strain. In post-impact, seawall panels retained 67% of their residual flexural strength. The experimental results were verified with the modified single-degree-of-freedom (SDOF) equation. The findings enhance understanding on the relationship between impact energy and impact characteristics of GFRP-reinforced seawall panels.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
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 studies0.0000.001
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 head0.020
GPT teacher head0.302
Teacher spread0.282 · 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 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
Published2025
Admission routes2
Has abstractyes

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