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Record W4386067733 · doi:10.11159/icmie23.149

L-Brackets for Heavy Duty Shelves: Stress Analysis

2023· article· en· W4386067733 on OpenAlexvenueno aff
Ahmad Eshaiyan, Aladwani Aladwani, Mohammed Hashim Mohammed, Abdulaziz Bonashi, Faisal Khalifa

Bibliographic record

VenueProceedings of the World Congress on Mechanical, Chemical, and Material Engineering · 2023
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsStress (linguistics)Heavy dutyComputer scienceEngineeringAutomotive engineeringPhilosophy

Abstract

fetched live from OpenAlex

L-brackets are a simple rigid mechanical structure utilized for fixing two components where one component which is usually the smaller component is horizontal (shelf), and the other component which is usually the larger component is vertical (wall).L-brackets are acknowledged to be used for several distinct applications and in countless industries; however, they are commonly used for fixing static structures for housing and construction applications.In engineering, as much as it is of high importance that a product must be functional, it is also crucial that the product must be safe whilst using as minimal material as possible to acquire an optimal design.The purpose of this paper is to conduct static analysis and illustrate the influence and effect of certain parameters on the safety and functionality of the design using finite element analysis (FEA), then optimizing the structure of our proposed design using SOLIDWORKS software in order to obtain a minimum satisfactory factor of safety equivalent to two according to Von Mises criterion.

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)
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 score0.066
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
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.208
Teacher spread0.201 · 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 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
Published2023
Admission routes1
Has abstractyes

Explore more

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