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Record W4416378317 · doi:10.1016/j.istruc.2025.110665

Synergistic strengthening of RC beams under torsion using NSM GSWR and steel bars: Experimental and numerical investigation

2025· article· en· W4416378317 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

VenueStructures · 2025
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsToronto Metropolitan University
FundersKing Saud UniversityKafrelsheikh University
KeywordsTorsion (gastropod)BrittlenessReinforcementBeam (structure)RopeReinforced concrete

Abstract

fetched live from OpenAlex

Torsional failure in reinforced concrete (RC) members is often sudden and brittle because of the complex three-dimensional (3D) stress state involved. Conventional strengthening techniques employing closed stirrups may face practical limitations in fully confining beams along all sides, especially under torsion where critical stresses develop on all sides. To address this, a novel strengthening technique was proposed utilizing galvanized steel wire rope (GSWR), a soft and flexible material, which was then recovered with glass fiber-reinforced self-consolidating concrete (GFSCC) as a sustainable, corrosion-resistant, and flowable protective layer. The GSWR was implemented using a near-surface mounted (NSM) approach, offering both sustainability advantages (via galvanization) and ease of installation, especially for wrapping around 3D beam geometries. This study experimentally evaluated the effectiveness of GSWR-based NSM strengthening in improving torsional performance. A series of nine full-scale normal concrete beams was tested under isolated torsional moment to clearly study and evaluate the gains of key factors: wrapping orientation (vertical, inclined, and combined), reinforcement type (GSWR and/or steel bars), and reinforcement ratios ranging from 0.15 % to 1.43 % . The results revealed that GSWR significantly upgraded torsional capacity, stiffness, and energy absorption, while also delaying crack initiation and controlling brittle failure risks. Beams with vertically wrapped GSWR at a ratio larger than 0.29 % exhibited a 95 % increase in torsional strength over unstrengthened defective beams and 58 % over the control beam. The most pronounced enhancement occurred in beams with 60° inclined GSWR wrapping, showing a 141 % increase in ultimate capacity. Furthermore, GSWR confinement of horizontal steel bars had a synergistic impact, outperforming each reinforcement strategy employed independently. To supplement the experiments, a robust 3D finite element model (FEM) was developed, capturing the plastic torsional response and enabling a parametric analysis of the proposed configurations. The outcomes confirmed the practicality and effectiveness of GSWR-NSM regimes for retrofitting RC members under torsional moment.

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 score0.058
Threshold uncertainty score0.606

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 head0.012
GPT teacher head0.250
Teacher spread0.239 · 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