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Record W2800788072 · doi:10.1139/tcsme-2011-0016

CLIMBING MODEL AND OBSTACLE-CLIMBING PERFORMANCE OF A CABLE INSPECTION ROBOT FOR A CABLE-STAYED BRIDGE

2011· article· en· W2800788072 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.

venuePublished in a venue whose home country is Canada.
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

VenueTransactions of the Canadian Society for Mechanical Engineering · 2011
Typearticle
Languageen
FieldEngineering
TopicPower Line Inspection Robots
Canadian institutionsnot available
Fundersnot available
KeywordsObstacleClimbingClimbRobotBridge (graph theory)Finite element methodEngineeringStructural engineeringSimulationComputer scienceArtificial intelligenceAerospace engineering

Abstract

fetched live from OpenAlex

A cable inspection robot is proposed to automatically check the cables of a cable-stayed bridge. First, a climbing model supported by an independent spring and an inspection robot is designed. Second, the dimensionless parameter, h/r, which is the ratio of the vertical height of the obstacle to the radius of the obstacle-climbing wheel, is selected as the evaluation standard of the climbing ability of the robot; after which a mathematical model of such obstacle-climbing ability is established. Third, the bearing capacity of the driving wheel rubber is studied using the finite element method. Afterwards, the analysis of the climbing performance is then carried out through simulation by studying two influential perspectives, namely, the positive pressure from the passive end spring and the swinging angle of the passive wheel. Finally, field experiments are carried out on the HuangPu Cable-Stayed Bridge. Based on the results, the robot can climb steadily on various inclined cables.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.876
Threshold uncertainty score0.905

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 communication0.0000.000
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 head0.028
GPT teacher head0.199
Teacher spread0.171 · 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