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Record W2171306380 · doi:10.1139/l05-070

Ductility of concrete walls: the Canadian seismic design provisions 1984 to 2004

2005· article· en· W2171306380 on OpenAlexvenueaboutno aff
Perry Adebar, James Mutrie, Ronald DeVall

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2005
Typearticle
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsDuctility (Earth science)Seismic analysisStructural engineeringDisplacement (psychology)EngineeringFlexural strengthForensic engineeringGeotechnical engineeringCivil engineeringMaterials scienceCreep

Abstract

fetched live from OpenAlex

The National Building Code of Canada (NBCC) references Canadian Standards Association (CSA) standard A23.3 for the design of concrete structures. The seismic design provisions in the 2004 edition of CSA A23.3, which ensure concrete walls without confinement reinforcement have adequate flexural displacement capacity (ductility), have been completely revised from the provisions in the 1994 edition of CSA A23.3 standard, which are similar to the provisions in the 1984 edition. The new provisions require an estimate of the displacement demand of the seismic force resisting system due to the design earthquake. For ductile walls that are part of a system with good displacement control, the new provisions are less restrictive than the old provisions, while for moderately (nominally) ductile walls, the new provisions are considerably more restrictive than the old provisions. A comprehensive review of the 1984 and 1994 provisions and the background to the 2004 provisions are presented, and it is explained why the seismic design provisions required significant changes.Key words: building codes, concrete walls, displacement-based design, ductility, seismic design.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.060
Threshold uncertainty score0.249

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.003

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 head0.010
GPT teacher head0.188
Teacher spread0.178 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations29
Published2005
Admission routes2
Has abstractyes

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