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Record W3005664219

FRP보강시스템에 의한 철근콘크리트보의 보강설계에 관한 연구

2019· article· ko· W3005664219 on OpenAlexaboutno aff
지효선, 손병직

Bibliographic record

Venue복합신소재구조학회 논문집 · 2019
Typearticle
Languageko
FieldComputer Science
TopicInternet of Things and Social Network Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsFibre-reinforced plasticEngineeringStructural engineering
DOInot available

Abstract

fetched live from OpenAlex

본 논문은 FRP보강시스템에 의한 철근콘크리트보의 보강설계에 대하여 소개하고 있고 ISIS CANADA-Design Manual No. 4(2001) 및 KCI-2012의 설계 코드를 고려하여 연구가 수행되었다. FRP보강시스템에 의한 철근콘크리트보의 보강 설계순서도가 제시되었으며, 보강설계해석프로그램을 소개하였다. 연구의 검증은 참고문헌과의 비교를 통해서 이루어졌다. 또한, 복철근 직사각형 보와 T형보의 정밀 분석을 통하여 보강 설계 순서도를 수정, 보완하는 경우를 제시하였다. 구조설계자는 본 프로그램을 이용하여 FRP보강시스템에 의한 노후 철근콘크리트보의 보강설계를 쉽게 수행할 수 있다. 따라서 본 연구가 FRP보강시스템의 최적화된 설계 및 제작 등에 실질적인 지침서가 될 수 있을 것으로 기대된다.

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)0.005
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.144
Threshold uncertainty score0.286

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0050.006
Scholarly communication0.0090.006
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0620.032

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 head0.009
GPT teacher head0.250
Teacher spread0.241 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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