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Record W1872111972

CO₂를 발포제로 활용한 단열재의 물리적 특성에 관한 연구

2013· article· ko· W1872111972 on OpenAlexaboutno aff
윤상혁, 이종찬, 이세현

Bibliographic record

Venue대한건축학회 논문집 - 구조계 · 2013
Typearticle
Languageko
FieldEngineering
TopicEngineering Applied Research
Canadian institutionsnot available
Fundersnot available
KeywordsPolystyreneMaterials scienceThermal conductivityWaste managementComposite materialFlexural strengthBlowing agentEnvironmental scienceEngineeringPolyurethane
DOInot available

Abstract

fetched live from OpenAlex

Hydrochlorofluorocarbon (HCFC) is an ozone-depleting substance that is subject to environmental regulations based on the Montreal Protocol, and in South Korea, which is regarded as a developing country, its use will be restricted in phase starting in 2013 until finally being prohibited in 2030. HCFC is regulated Based on the Tokyo Protocol, HCFC is a regulated construction material for carbon dioxide reduction with GWP of 1,700~2,400 times that of CO₂, with a GWP of 1. At present in South Korea, the foaming agent used for extruded polystyrene insulation consists of solely HCFC, whereas it has been replaced with eco-friendly foaming agents (carbon dioxide, hydrocarbons) by advanced countries such as European countries and Japan as a measure for environmental change. A review of the physical properties of insulation material utilizing CO₂ showed that the compressive strength, flexural failure load, thermal conductivity, combustibility and moisture permeance satisfied the standards of KS M 3808 foaming polystyrene by 4~60%, and it was determined that the foaming agent could be replaced with CO₂ by 30%. Also, it is thought that adding graphite will improve the thermal conductivity of the insulation material.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.002

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 head0.224
Teacher spread0.215 · 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
Published2013
Admission routes1
Has abstractyes

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Same venue대한건축학회 논문집 - 구조계Same topicEngineering Applied ResearchFrench-language works237,207