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Record W4408749577 · doi:10.23977/jemm.2025.100104

Research on the Engineering Mechanics Equations of a Pipeline Robot Supported by Wheel Systems

2025· article· en· W4408749577 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

VenueJournal of Engineering Mechanics and Machinery · 2025
Typearticle
Languageen
FieldEngineering
TopicPower Line Inspection Robots
Canadian institutionsnot available
Fundersnot available
KeywordsRobotPipeline (software)Applied mechanicsComputer scienceMechanical engineeringEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

Existing oil pipeline robots generally face stability and adaptability problems in complex terrain and different environmental conditions. Especially under high load and complex pipeline paths, the robot's motion control and mechanical response often cannot meet the requirements. To this end, this paper first constructs a mechanical model of a supported wheeled robot in a pipeline environment. By analyzing the response of the robot under different terrain and disturbance conditions, a set of control methods based on dynamic optimization are proposed. This paper accurately calculates the contact force and motion trajectory of the robot on the pipeline by establishing a multi-factor coupling model including normal force, tangential force and friction force, and simulates and verifies its performance under different operating conditions. The study also deeply analyzes the dynamic response of the robot under speed and slope conditions to ensure its efficient movement in difficult environments. The experimental results show that the robot's motion control accuracy has been significantly improved through the improved mechanical model, especially in pipeline environments with high-speed movement and complex slopes. Under flat conditions, the robot has a recovery time of 2.1 seconds after being disturbed by a speed of 0.5 m/s, a maximum displacement deviation of 0.15 meters, and a maximum posture deviation of 3.5°.

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)0.002
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 score0.991
Threshold uncertainty score0.759

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.269
Teacher spread0.249 · 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