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Fatigue Property Analysis of Modified Asphalt Emulsion-Cement Cold Recycling Mixtures

2012· article· en· W2007135347 on OpenAlexaff
Yin Tao Guo, Zhen Qing Liu, Qing Quan Liu

Bibliographic record

VenueAdvanced materials research · 2012
Typearticle
Languageen
FieldEngineering
TopicAsphalt Pavement Performance Evaluation
Canadian institutionsMinistry of Transportation of Ontario
Fundersnot available
KeywordsAsphaltMaterials scienceStructural engineeringFracture mechanicsBeam (structure)CementComposite materialFracture (geology)BendingFlexural strengthEngineering

Abstract

fetched live from OpenAlex

The fatigue property of rectangular section beam for semi-flexible cold recycling mixtures has been analyzed basing on damage-fracture mechanics principles. Fatigue models of rectangular section beam have been put forward respectively, which includes both macroscopic cracks appearance and propagation process. Then parameters for fatigue models have been determined by the standard test for determining fatigue failure of compacted asphalt concrete subjected to repeated flexural bending. Finally, a fatigue life estimate formula of rectangular section beam is proposed by using mathematical decoupling method. Results indicate that the fatigue damage process play an important role in the whole fatigue process. Also, damage-fracture mechanics principles and methods are suitable for estimating the fatigue property of modified asphalt emulsion-cement cold recycling mixtures, which has a definite guiding purpose for projects.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
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 score0.119
Threshold uncertainty score0.751

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.125
GPT teacher head0.396
Teacher spread0.271 · 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 teacher head, 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

Citations1
Published2012
Admission routes1
Has abstractyes

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