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Record W4246591622 · doi:10.3166/rmpd.2.205-216

A New Way to Mitigate Frost Heave Around Manholes

2001· article· en· W4246591622 on OpenAlexaffabout
OJ Svec

Bibliographic record

VenueRoad Materials and Pavement Design · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicSmart Materials for Construction
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsSanitary sewerFrost heavingFrost (temperature)StormGeotechnical engineeringFrost weatheringEnvironmental scienceHeat generationCrackingEngineeringGeologyEnvironmental engineeringSoil water

Abstract

fetched live from OpenAlex

ABSTRACT Frost heave of pavement around manholes in northern cities all over the world has been a costly problem ever since sanitary and storm sewers were installed. Freezing of frost-susceptible soil under the road structure can lead to substantial uplift, deformation and cracking of the pavement surface. This new technology is based on utilizing the heat in flowing water in sanitary and storm sewers, as well as the existing heat in the soil located deep around the manholes. Inside the manhole during winter, the air temperature is cold at the top and warm at the bottom generating air convection. The warm air flows from the bottom to the top of the manhole where it cools; this cold air then flows down to the bottom of the manhole where it warms up again. The heat energy in manholes with a perforated steel cover is simply lost. The innovation described calls for a closed system, where the heat energy is transferred to the area under the pavement structure, thus preventing the 0°C isotherm from reaching the frost-susceptible soil below. In collaboration with the City of Nepean, part of Greater Ottawa, Ontario, four manholes were reconstructed using the new frost-heave mitigation principle. A third manhole was instrumented as a control. The author, who is also the applicant for a patent on this new technology, provided the design for the reconstruction. The results of the trials during the winter of 1998–99 demonstrated that the innovation “works,” as the frost did not reach the frost susceptible soil (Leda clay) surrounding the manhole and did not cause any pavement deformation. No reference are provided, because no similar technology exists.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0060.001

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 head0.019
GPT teacher head0.222
Teacher spread0.203 · 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; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreEmpirical

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
Published2001
Admission routes2
Has abstractyes

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