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Record W7117704187 · doi:10.1061/jsendh.steng-15399

Investigation of Inelastic Higher-Mode Effects in an RC Structural Wall under Long-Duration Ground Motion Using Hybrid Testing

2025· article· en· W7117704187 on OpenAlexaff
Mehrdad Aftabiazar, Patrick Paultre

Bibliographic record

VenueJournal of Structural Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsShear (geology)SubstructureBrittlenessSubductionGround motionEarthquake shaking tableReinforced concreteSeismic analysis

Abstract

fetched live from OpenAlex

Reinforced concrete shear walls (RCSWs) constitute the primary seismic force-resisting system for mid-rise and high-rise buildings in western North America. Numerical analysis has indicated that large-magnitude, long-duration earthquakes, such as those generated by the Cascadia Subduction Zone (CSZ), can induce multiple amplified shear cycles due to inelastic higher-mode effects, raising concerns about brittle failure in RCSWs. This study presents a large-scale substructuring pseudodynamic hybrid test on a 10-story ductile RCSW to experimentally evaluate inelastic shear amplification and seismic performance during an intense, long-duration subduction earthquake. The first story of the wall was tested as an experimental substructure using a scaled, heavily instrumented specimen, whereas the remaining stories were modeled nonlinearly as unscaled components via numerical methods. The results revealed an inelastic shear amplification factor of 2.43, significantly exceeding the maximum values recommended by the current seismic design codes. Ductile shear failure accompanied by flexural yielding was observed. The conservative approach to calculating the design shear resistance ensured that no diagonal concrete crushing occurred. The findings also highlight the considerable impact of higher-mode effects, including amplified shear forces, the increased contributions of shear deformation, and the out-of-phase interactions between flexural and shear responses.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.237
Teacher spread0.223 · 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 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 routes1
Has abstractyes

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