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Record W160505924

Simulation of finite-element sensitivities for power cables in complex media

2007· article· en· W160505924 on OpenAlex
M. S. Al-Saud, M. A. El-Kady, R.D. Findlay

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 conference on Modelling and simulation · 2007
Typearticle
Languageen
FieldEngineering
TopicThermal Analysis in Power Transmission
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAmpacityFinite element methodSensitivity (control systems)Power cableFlexibility (engineering)TrenchComputationComputer sciencePower transmissionPower (physics)ThermalEngineeringElectronic engineeringStructural engineeringElectrical engineeringElectrical conductorMaterials scienceAlgorithmMathematics
DOInot available

Abstract

fetched live from OpenAlex

This paper presents a novel concept of perturbed finite element, which combines the conventional finite element method with sensitivity analysis and optimization procedures in one interactive simulation approach. The proposed method is implemented to study the general performance of buried power cable and parameter evaluation procedures for the purpose of advanced thermal analysis and ampacity calculations. This involves solving the thermal field of a cable system which can handle complex configurations, boundaries, and heat sources, as well as optimizing cable performance and sensitivity analysis under varying loading and environmental conditions. The proposed technique is used in the assessment of practical transmission level cable systems of 15 kV, 3×300 mm2 CU/XLPE/SWA/PVC. The developed algorithm shows high potential in handling intensive complicated cable-trench arrangements due to it flexibility and low required computation efforts.

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 score0.687
Threshold uncertainty score0.379

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 head0.075
GPT teacher head0.310
Teacher spread0.235 · 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