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Record W2622320425 · doi:10.1080/23248378.2017.1336652

Optimization of secondary suspension of three-piece bogie with bevelled friction wedge geometry

2017· article· en· W2622320425 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

VenueInternational Journal of Rail Transportation · 2017
Typearticle
Languageen
FieldEngineering
TopicRailway Engineering and Dynamics
Canadian institutionsConcordia University
Fundersnot available
KeywordsWedge (geometry)BogieBolsterStructural engineeringGeometryContact geometryEngineeringMathematics

Abstract

fetched live from OpenAlex

The multibody approach is utilized to investigate the dynamic characteristics of the modified friction wedge geometry in the secondary suspension of a freight wagon with three-piece bogies. In proposed design, each wedge is simulated with six Degrees of Freedom with corresponding geometry and inertial properties. The geometry of wedge as well as wedge angle, toe-in condition, and clearances between wedge and bolster/side frame are considered in modelling by point–plane contact technique. The contact model considers unilateral contact and non-smooth frictional forces. The three-dimensional model of the wedge simulates a frictional damping system that interacts with bolster in two separate inclined surfaces, longitudinally and horizontally. The optimum inclination angles are determined to reduce the carbody vertical acceleration and normal wheel–rail contact force subject to a track deviation for empty and loaded conditions. Moreover, the dynamic response of the freight wagon with optimal wedge geometry presents qualitative improvements regarding stability, hunting speed, and derailment probability in comparison with the conventional geometry of wedge.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score0.408

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.009
GPT teacher head0.217
Teacher spread0.208 · 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