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Record W607807029 · doi:10.1520/stp10606s

Real-Time Simulation of a Multi-Channel Moving Load Cell Structural Test

2002· book-chapter· en· W607807029 on OpenAlexaff
RL Hewitt

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsComputer scienceChannel (broadcasting)Test (biology)GeologyComputer network

Abstract

fetched live from OpenAlex

Full-scale aircraft structural fatigue tests are extremely complex from a control systems viewpoint. There are usually a large number of actuators with significant interactions between them and control is made more difficult because the load cells usually move with the actuators. A linear state space model of a structural test was previously developed as an aid to understand these tests better. This paper presents a method by which these models could be interfaced with a structural test controller to allow a test engineer or operator to run a virtual test prior to assembling test hardware. An example of a simple cantilever beam with two actuators connected to an analog servo-controller is described. It was possible to simulate the beam using four modes and two actuators with integration step sizes of up to 1 ms. The interaction between actuators could be demonstrated, and the system shows excellent potential as an education tool for new operators. Larger systems can be simulated since the execution time for this example was less than 100 μs. Systems that are more complex could be simulated using a combination of more powerful controller boards

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.

How this classification was reachedexpand

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.588
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.001

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 head0.014
GPT teacher head0.211
Teacher spread0.197 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2002
Admission routes1
Has abstractyes

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