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Record W2604564406 · doi:10.1061/9780784480427.035

Feasibility Study of a Novel Tall Concrete-Wood Hybrid System

2017· article· en· W2604564406 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueStructures Congress 2017 · 2017
Typearticle
Languageen
FieldEngineering
TopicTree Root and Stability Studies
Canadian institutionsUniversity of Northern British ColumbiaUniversity of British Columbia
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

In order to reduce the environmental impact of the construction industry, structural high-rise solutions using sustainable construction practices and renewable materials need to be developed. This study investigated a novel hybrid structural system comprised of concrete and timber where concrete slabs at every third story provide the necessary stiffness and strength to resist gravity and lateral loads and the intermediate floors are constructed using light-frame wood modules to create the living spaces. Apart from reducing the building’s carbon footprint, the weight of the building is reduced considerably and, as a result, the seismic demand on the lateral load resisting system is reduced. The research presented in this paper evaluated the feasibility of the proposed hybrid concept and compares it to an ordinary concrete frame structure. A linear finite element model of the system captured the model response in terms of inter-story drift, base shear and the seismic demands in accordance with the design requirements of the National Building Code of Canada (NBCC 2010). It indicates that the system meets the NBCC design performance requirements and has a lower seismic demand in terms of floor displacement and interstorey drift.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.043
GPT teacher head0.285
Teacher spread0.242 · 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