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Record W1976596542 · doi:10.1243/09544070jauto58

An Investigation into the Effects of Initial Track Tension on Soft Ground Mobility of Tracked Vehicles Using an Advanced Computer Simulation Model

2006· article· en· W1976596542 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

VenueProceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · 2006
Typearticle
Languageen
FieldEngineering
TopicSoil Mechanics and Vehicle Dynamics
Canadian institutionsCarleton University
Fundersnot available
KeywordsTrack (disk drive)TerrainTraction (geology)SimulationTension (geology)Ground pressureTractive forceComputer scienceAutomotive engineeringEngineeringMechanical engineeringCompression (physics)

Abstract

fetched live from OpenAlex

This paper describes the results of a detailed investigation into the effects of initial track tension (i.e. the tension in the track system when the vehicle is stationary on a level, hard surface) on soft ground mobility of tracked vehicles. The investigation was carried out using the latest version of an advanced computer simulation model, known as NTVPM, developed under the auspices of Vehicle Systems Development Corporation. The results show that the initial track tension has significant effects on the peak normal pressure and mean maximum pressure on the track-terrain interface, sinkage of the track, and the drawbar pull and tractive efficiency of a vehicle on unprepared terrain. The impact of initial track tension on tractive performance is however dependent upon vehicle design features, including suspension characteristics. This investigation demonstrates that the simulation model NTVPM can play a significant role in the detailed evaluation of the design of tracked vehicles from a traction perspective.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.748

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.244
Teacher spread0.233 · 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