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Record W4407349646 · doi:10.1002/eqe.4322

Seismic Design of Hybrid Coupled CLT Shear Walls with Steel Link Beams

2025· article· en· W4407349646 on OpenAlexaff
Ben Moerman, Minghao Li, Tobias Smith

Bibliographic record

VenueEarthquake Engineering & Structural Dynamics · 2025
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversity of British ColumbiaAbbotsford Veterinary Clinic
Fundersnot available
KeywordsStructural engineeringCross laminated timberShear (geology)Seismic analysisLink (geometry)EngineeringGeologyGeotechnical engineeringSeismologyComputer science

Abstract

fetched live from OpenAlex

ABSTRACT This study proposes a seismic design method for hybrid coupled cross‐laminated timber (CLT) shear walls with steel link beams as the lateral load‐resisting system for mass timber buildings. A force‐based seismic design method was proposed as a preliminary design process to determine the primary structural components. To inform the selection of several factors in the design method, a series of pushover analyses were conducted on 23 prototype configurations with CLT wall piers and steel link beams of varying size. Based on the results, it is recommended to use a minimum ratio of wall pier length to link beam length of 3 and a degree of coupling factor (β, which defines the portion of overturning resisted by link beams) between 0.5 and 0.6. Coupled CLT walls were then designed for sample buildings of 6, 8 and 10 storeys using the proposed design method, and their expected seismic performance was evaluated using pushover and non‐linear time‐history analyses (NLTHA). For ultimate limit state (ULS) seismic events, only the six‐storey building experienced collapse for one of twelve ground motions, which may indicate unacceptable performance depending on the acceptance criteria set by the design engineer. The mean peak drift predicted by the non‐linear analyses for the set of buildings was 1.6% which is below the common 2.5% limit for ULS events set by building codes. The NLTHAs predicted greater deformation demands than the pushover analyses for all three sample buildings, in part because they explicitly consider stiffness degradation and the system's pinched hysteretic behaviour. In general, the proposed design parameters were appropriate for the proposed hybrid coupled CLT shear wall system but non‐linear verification is still essential to verify the force‐based 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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 science0.0010.001
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 head0.005
GPT teacher head0.192
Teacher spread0.187 · 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 designSimulation or modeling
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

Citations4
Published2025
Admission routes1
Has abstractyes

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