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Record W1984335764 · doi:10.5539/mas.v3n9p52

Study on Design Method of SRC Abnormal Exterior Joint of Large-scale Thermal Power Plant Frame-bent Structure

2009· article· en· W1984335764 on OpenAlexvenueno aff
Xiaoli Yang, Guoliang Bai, Hongxing Li

Bibliographic record

VenueModern Applied Science · 2009
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsStructural engineeringFrame (networking)Beam (structure)Joint (building)Bent molecular geometryComputer scienceMechanism (biology)Bearing (navigation)PierEngineeringMechanical engineeringPhysics

Abstract

fetched live from OpenAlex

Due to the demand of manufacture technology, the main factory building forms intricate frame-bent structure, many abnormal joints with strong beam-weak column and changed beam and changed column. The bearing mechanism of abnormal joints is very complex, and design of those joints becomes the hard point in the design of large-scale thermal power plant. In order to improve seismic behavior of the thermal power plant frame-bent structure, the research group put forward SRC frame-RC dispersive short-pier shear walls mixed structure, and carried out SRC frame-dent structure sub-space model test. Based on the sub-space model test, the paper chose four typical SRC abnormal exterior joints to take the experimental research. Through the pseudo-static test of the joints, this paper mainly analyses the force-transmission path and bearing mechanism of the SRC abnormal exterior joints, and studies on the main factors which affect the shear capacity of joint. Besides, it puts forward some detailing requirements. Those may be references for practical 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 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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score0.743

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.017
GPT teacher head0.256
Teacher spread0.239 · 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

Citations1
Published2009
Admission routes1
Has abstractyes

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