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Record W2119914862 · doi:10.1177/0731684409341090

Seismic Retrofit of Concrete Block Wall Intersections Using Composite Laminates

2009· article· en· W2119914862 on OpenAlexaff
Wael El‐Dakhakhni, Steve George, Marwan Shedid

Bibliographic record

VenueJournal of Reinforced Plastics and Composites · 2009
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMaterials scienceFlangeComposite materialStructural engineeringComposite numberRetrofittingDeformation (meteorology)Joint (building)Failure mode and effects analysisShear strength (soil)PerpendicularEngineeringGeologyGeometry

Abstract

fetched live from OpenAlex

An experimental study was conducted to investigate the effectiveness of strengthening the intersection of flanged concrete block shear walls using surface-bonded composite laminates. A total of 15 specially designed flange-web intersecting wall specimens were tested using four different retrofit schemes. Tests included wall intersections reinforced with unidirectional laminate with the fibers oriented perpendicular to loading direction (90°), and bi-directional laminate with orientations of (90°/0°), (90°/0°) 2 , and (45°/135°) to the applied load direction. The behavior of each specimen type is discussed with respect to its failure mode, strength, and deformation characteristics. Results showed that the composite laminates significantly increased the shear strength of concrete block shear wall intersections. In addition, the fiber orientation influenced the failure mode and controlled the development of the post-peak deformation capacity of the flange-web intersection. The improved post-peak behavior demonstrated the benefits of retrofitting concrete block wall intersections for strength enhancement. The retrofit scheme resulted in 100%—400% increase in strength compared to non-retrofitted specimens constructed with traditional steel joint reinforcement.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.821

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 head0.009
GPT teacher head0.216
Teacher spread0.207 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Reinforced Plastics and CompositesSame topicStructural Behavior of Reinforced ConcreteFrench-language works237,207