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Record W2954167994 · doi:10.29173/mocs123

Cyclic Behavior of a Bamboo-Steel Hybrid Moment Frame with a Novel Energy Dissipation Connection

2019· article· en· W2954167994 on OpenAlexaffvenue
Zirui Huang, Dongsheng Huang, Yanhua Wang, Yan Feng

Bibliographic record

VenueModular and Offsite Construction (MOC) Summit Proceedings · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBamboo properties and applications
Canadian institutionsUniversity of AlbertaAlberta Environment and Protected Areas
Fundersnot available
KeywordsDissipationStructural engineeringServiceability (structure)DowelConnection (principal bundle)HingeBambooSteel frameBeam (structure)StiffnessJoint (building)Frame (networking)EngineeringMaterials scienceComposite materialMechanical engineeringPhysics

Abstract

fetched live from OpenAlex

This paper presents a novel bamboo/wood-steel hybrid frame which uses engineered bamboo products as beams and steel as columns. The beams and columns are jointed by an innovative connection which incorporates a steel hinge and two steel brackets to carry shear force and moment from the end of beam, respectively. The bracket consists of two segments, i.e. joint segment connected to beam and the other segment, which serves as energy dissipation panel (EDP), connected to the columns via a base panel. By this way, the connection can provide sufficient initial stiffness for serviceability requirements and excellent energy dissipation capacity for seismic performances. Lateral cyclic loading tests were conducted to investigate the seismic performances of the frame. It was found that hysteresis loops of the frame with energy dissipation joints show less pinching than that of frames with dowel- or bolt-type connections; by proper designing, the damage and failure of the frame can be restricted in the EDPs of connections, whereas virtually no damage was observed in the other components of the frame; the connection can provide more than 10 % damping for the frame after the yielding of EDPs. Design method is also proposed in this paper.

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 score0.508
Threshold uncertainty score0.328

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 head0.008
GPT teacher head0.178
Teacher spread0.169 · 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

Citations3
Published2019
Admission routes2
Has abstractyes

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Same venueModular and Offsite Construction (MOC) Summit ProceedingsSame topicBamboo properties and applicationsFrench-language works237,207