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Record W4244306269 · doi:10.32920/ryerson.14649471.v1

Development of an Experimental Apparatus for Studying High-Temperature Heat and Mass Transfer in Soils

2021· preprint· en· W4244306269 on OpenAlexaff
Mohsen Hedayati-Dezfooli

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsSoil waterWater contentSoil scienceMoistureHeat transferSoil thermal propertiesHeat fluxEnvironmental scienceInterference (communication)ThermalMass transferThermal conductivityMaterials scienceGeotechnical engineeringGeologyField capacityMechanicsThermodynamicsComposite materialPhysicsEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

The objective of this study was to design and build an experimental apparatus for studying heat and moisture transport phenomena in soils at temperatures greater than 40°C up to 90°C. An experimental soil cell was designed and constructed for experimental studies of one-dimensional heat and moisture transfer within a vertical soil column. The interference effect between two proximate TDR probes was examined for three types of soils and it was found that parallel TDR probes can interfere with each other if the distance between them is around 1 cm. Also, for the samples with higher water contents, the effect of interference on the electromagnetic waveform signals is more prominent, which can result in 15% uncertainty in the measurement of water content. Through the numerical study, four stages of design analysis were carried out to eventually reach a satisfactory design which was deemed to meet the research objective, i.e. less than 5% variation of heat fluxes in the radial direction along the soil cell. The experimental assessment of the final soil cell was first performed using dry Matilda soil. The temperature profile along the soil cell deviated from the linear temperature profile by 18.6% when the temperature level and gradient was high at 82.6°C and 90°C/m, respectively. At this condition, the difference of heat fluxes between the top and bottom heat flux meters was recorded to be 34%. This case is the worst case due to the low thermal conductivity of the dry soil. The experimental assessment of the final soil cell was also done for a wet Matilda soil at a degree of saturation of about 65%. The temperature profile along the soil cell had a maximum deviation of 7.7% from the linear temperature profile even when the temperature level of the soil cell was high at 82.1°C. At this condition, the difference of heat fluxes between the top and bottom heat flux meters was recorded to be 4.2%. After the reliability of the apparatus was assessed, nine cases of the wet soil were studied. The results show that the temperature gradient is the main driving force to cause moisture migration.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.026
GPT teacher head0.266
Teacher spread0.241 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

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

Citations4
Published2021
Admission routes1
Has abstractyes

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