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Record W3199207168 · doi:10.32370/ia_2021_09_5

Numerical Studies of Deformations and Crack Propagation in Reinforced Concrete Annular Sections Under Thermopower Loads

2021· article· en· W3199207168 on OpenAlexvenueno aff
Ihor Karkhut, J. J. LUCHKO, V.V. Kirichok

Bibliographic record

VenueIntellectual Archive · 2021
Typearticle
Languageen
FieldEngineering
TopicFire effects on concrete materials
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Deformation (meteorology)Structural engineeringReinforced concreteThermalMechanicsExperimental researchField (mathematics)Numerical analysisMaterials scienceEngineeringMechanical engineeringPhysicsMathematicsComposite material

Abstract

fetched live from OpenAlex

The article describes the current state and the level of research of annular cross-sections of structures of energy facilities operating under conditions of thermal and force effects. The results of a numerical experiment to study the deformability and crack resistance of annular сross-sections and their comparison with the results of testing physical models of fragments of reinforced concrete chimneys are presented. It is shown that at the modern level of development of the mathematical apparatus and computer calculation programs, using the deformation model, the deviation does not exceed 20%. The described research results of other authors and this work confirm the possibility of replacing cost and long-term field tests with numerical experiments.

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)0.001
metaresearch head score (Gemma)0.002
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.249
Teacher spread0.232 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueIntellectual ArchiveSame topicFire effects on concrete materialsFrench-language works237,207