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Record W4406661005 · doi:10.1016/j.csite.2025.105806

Nonlocal fracture analysis of fiber reinforced composites under heat flux loading

2025· article· en· W4406661005 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCase Studies in Thermal Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicNumerical methods in engineering
Canadian institutionsUniversity of Alberta
FundersFundamental Research Funds for the Central UniversitiesNatural Science Foundation of Gansu ProvinceNational Natural Science Foundation of ChinaLanzhou University
KeywordsMaterials scienceComposite materialHeat fluxFracture (geology)Fiber-reinforced compositeFiberFlux (metallurgy)MechanicsHeat transferPhysics

Abstract

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This work aims to explore the fracture characteristics of fiber reinforced composites under heat flux loadings in the framework of Eringen's nonlocal elasticity. Epoxy-based composites reinforced by T300 graphite fiber , AS graphite fiber and S-Glass fiber are examined to study the temperature and nonlocal thermal stress conditions around the crack tips. Both the horizontal and vertical fibers are considered to make the comparisons. By means of the Fourier transform method , the thermal and elastic problems are converted to the singular integral equations and dual integral equations, respectively. After evaluating the integral equations numerically, the temperature and nonlocal stresses around the crack tips are illustrated graphically. The effects of the fiber volume fractions , fiber orientations , and the nonlocal characteristic lengths are investigated in detail. The application of nonlocal theory is proved to be capable of taking the composite's size effect into account as well as removing the singular stress field near the crack tips, which contributes to the development of the fibrous composite's application in various engineering industries.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.427
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.015
GPT teacher head0.297
Teacher spread0.281 · 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