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Record W2983949017 · doi:10.18280/rcma.290304

Mechanical Properties of Post-fire Inorganic Polymer Concrete Columns under Eccentric Compression

2019· article· fr· W2983949017 on OpenAlexvenueno aff
Huiguo Chen, Yixin Lei, Yue Zhao

Bibliographic record

VenueRevue des composites et des matériaux avancés · 2019
Typearticle
Languagefr
FieldEngineering
TopicFire effects on concrete materials
Canadian institutionsnot available
FundersChongqing Science and Technology Commission
KeywordsMaterials scienceCompression (physics)Composite materialPolymerEccentricStructural engineeringEngineering

Abstract

fetched live from OpenAlex

This paper aims to disclose the variation law in the performance of inorganic polymer concrete (IPC) columns under varied temperatures. Therefore, the IPC columns were tested under eccentric compression at several high-temperature conditions, and multiple mechanical indices of each column were measured, including the compressive strength, axial deformation and lateral displacement. On this basis, the author analyzed the impacts of the hightemperature conditions on the mechanical properties of the IPC columns. The analysis shows that the compressive strength of the IPC columns was enhanced with the increase of fire temperature, and started to decline after the temperature surpassed 400 ; the loss ratio, i.e. the loss of compressive strength, of each IPC column under eccentric load, was smaller than that of the corresponding ordinary concrete column, under any high-temperature condition. The research results confirm the excellent fire-resistance of the IPC, shedding new light on fire prevention and post-fire evaluation.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.132
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.028
GPT teacher head0.232
Teacher spread0.204 · 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; both teacher heads agree on what is shown here.

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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Same venueRevue des composites et des matériaux avancésSame topicFire effects on concrete materialsFrench-language works237,207