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Record W383207574

Mechanical Analyses of Multi-piece Mining Vehicle Wheels to Enhance Safety

2014· article· en· W383207574 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2014
Typearticle
Languageen
FieldEngineering
TopicMechanical Failure Analysis and Simulation
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaWorkplace Safety and Insurance Board
KeywordsEngineeringForensic engineeringMining engineering
DOInot available

Abstract

fetched live from OpenAlex

In this research, experimental and numerical methods were used to analyse the performance of multi-piece wheel structures and two proposed innovative designs to enhance safety were validated by computer simulations. Fatality report analyses revealed that the majority (90%) of the multi-piece wheel failures were caused by use of lock rings. Experimental tire and rim base tests were conducted to understand the deflection characteristics of off-the-road tires and to validate the finite element model of a five-piece wheel/tire (sized 29.5-29) assembly. A linear relationship was found between the vertical displacement of the wheel and the maximum lateral deflection of the tire for both static and quasi static loading tests. A robust tire model was validated with an average accumulative error of 9.7% and an average validation metric of 0.96 for tire deflections, compared to the experimental tests. The rim base model was validated with an average error of 7.6% and an average validation metric of 0.93 for wheel deformations, and an average accumulative error of 12.7% and an average validation metric of 0.88 for strains, compared to experimental tests. Based on validated FE model of the five-piece wheel/tire assembly, geometry degradation (material wear out at critical regions) and material degradation (fatigue and corrosion) were studied to estimate their effects on fatigue lives. Two design innovations were proposed to enhance safety and fatigue life of the five-piece wheel. The threaded-connection design reduced the possibility of failure due to the mismatched wheel components. The BS band pull-out simulation revealed that the threaded-connection design was twice as strong as the conventional five-piece design in holding wheel components and the tire together, and the wheel may fail in a safer mode. The fatigue lives of the rim base were two orders of magnitude higher than those of the conventional five-piece wheel. The two-piece wheel design completely removed the possibility of wheel failure due to mismatched wheel components; the fatigue lives were increased by over two orders of magnitude, compared to the conventional five-piece wheel.

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)0.001
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 score0.388
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.029
GPT teacher head0.271
Teacher spread0.242 · 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