MétaCan
Menu
Back to cohort
Record W4311701760 · doi:10.5772/intechopen.108972

Prevention of Pipes Bursting by Using a Novel Deicing Technology

2022· book-chapter· en· W4311701760 on OpenAlexaff
André McDonald

Bibliographic record

VenueIntechOpen eBooks · 2022
Typebook-chapter
Languageen
FieldEngineering
TopicIcing and De-icing Technologies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCabin pressurizationEnvironmental scienceBurstingForensic engineeringMaterials scienceGeotechnical engineeringWaste managementComposite materialEngineering

Abstract

fetched live from OpenAlex

Freezing of water inside above-ground steel pipes is an unwelcome phenomenon that leads to internal pressurization, bulging, and bursting of pipes and can cause noticeable financial losses, environmental pollution due to the resulted leakages, and damage to the property, equipment, and workers in the field. Thus, a practical deicing/antiicing system that is highly efficient must be developed to minimize the detrimental impacts caused by freezing of liquids inside pipes. First, numerous tests were carried out in a relatively large cold room in which the actual working conditions of bare pipes exposed to cold weather were simulated to comprehend the freezing mechanism of the pressurized water. In the second phase of the project, the performance of the novel heating system was assessed by conducting deicing tests in the cold room. It was concluded that the freezing of the enclosed water was heavily dependent on the pressurization extent of water that itself was a function of pipe size and material properties. It was also found that the novel heating system that was produced by using thermal spraying means was able to eliminate the ice that was formed inside the pipe even under harsh conditions that may not be experienced in the field.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.863
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
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.028
GPT teacher head0.243
Teacher spread0.215 · 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 designBench or experimental
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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueIntechOpen eBooksSame topicIcing and De-icing TechnologiesFrench-language works237,207