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Record W4392952247 · doi:10.32920/25412764

Performance of Ultra-high Performance Concrete-filled Steel Tubes Under Lateral Impact Loads

2024· preprint· en· W4392952247 on OpenAlexaff
Hoda Mahmoud

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicTransportation Safety and Impact Analysis
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMaterials scienceStructural engineeringComposite materialEngineering

Abstract

fetched live from OpenAlex

<p>Ultra-high performance concrete is a new generation of concrete that supersedes traditional concrete. The new material is self-consolidated, and the present research focuses on the impact resistance of UHPC under impact loading. Four specimens in the form of simply supported beams with identical dimensions and steel reinforcement ratios are tested under low-velocity impact loading. The specimens are 140 mm in diameter and 2000 mm in length. </p> <p><br></p> <p>The experimental results revealed that the concrete type significantly affects the lateral impact resistance. UHPC specimen deform in a more ductile manner, and there is no severe local buckling in the steel tube. UHPC specimen effectively restricts the indentation and local bulking within a highly localized region around the impact point and limits the deformation of the steel tube. UHPC material is easy to mix and demonstrates superior impact resistance under lateral impact load.</p>

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)0.000
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 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 score0.415
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.235
Teacher spread0.225 · 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.

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
Published2024
Admission routes1
Has abstractyes

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