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Record W2381687000

Schematic Study of Hangtian Science and Technology Square Outrigger in Strengthened Stories

2013· article· en· W2381687000 on OpenAlexaff
Sun Su-wen

Bibliographic record

VenueJianzhu gangjiegou jinzhan · 2013
Typearticle
Languageen
FieldEngineering
TopicSeismic and Structural Analysis of Tall Buildings
Canadian institutionsCanadian Council on International Law
Fundersnot available
KeywordsOutriggerStructural engineeringBraceTrussStiffnessEngineeringShear (geology)BucklingGeology
DOInot available

Abstract

fetched live from OpenAlex

Feasibility and superiority of buckling restrained brace ( BRB) used as outrigger in high-rise building with frame-core tube are discussed,based on an actual project in Shenzhen. Ordinary brace case,in which it is used as web members of strengthened story truss,and BRB case are compared,including dynamic characteristic of the entire structure,inter-story drift when subject to frequent earthquakes,and base shear force under rare earthquakes. Results show that the sections of BRBs are smaller than those of ordinary braces under normal service state. It is useful for BRB to enhance stiffness and alleviate abrupt change of story stiffness. BRB will yield and dissipate cumulative hysteretic energy under rare earthquakes,it also helps to reduce earthquake action of the entire building and protect other important members from being damaged. BRB strengthened story is able to enhance stiffness and shear capacity while eliminates sudden stiffness change at the same time.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.048

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.001

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 head0.206
Teacher spread0.200 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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