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Record W300582934 · doi:10.1520/stp15854s

Review Clogging Behavior by the Modified Gradient Ratio Test Device with Implanted Piezometers

2000· book-chapter· en· W300582934 on OpenAlexaboutno aff
DT-T Chang, Chi‐Wen Hsieh, Y.T. Chen

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldComputer Science
TopicSensor Technology and Measurement Systems
Canadian institutionsnot available
Fundersnot available
KeywordsCloggingPiezometerMaterials scienceComposite materialGeotechnical engineeringEngineeringArt

Abstract

fetched live from OpenAlex

A modified implanted Gradient Ratio (GR) test system was proposed in the study. In comparison with the conventional GR test device, all the piezometers are implanted into the soil specimen, and an additional piezometer is installed at soilgeotextile interface, in order to precisely measure the pore pressure variation of the soil-geotextile system. By using the modified GR test apparatus, 120 tests were conducted to study the clogging behavior of soil-geotextile system. Four types of needle-punched nonwoven geotextiles and five gap-graded soil mixtures were used in the program. These soils are the mixture of the Ottawa sand and various percentages of weathered mudstone. Three hydraulic gradients were used in the GR tests. The results of the study indicated that the modified implanted GR test system is able to provide pore pressure head measurement within the test specimen. In general, GR values obtained from the implanted GR test system are greater than those obtained from the conventional GR tests.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.041
GPT teacher head0.240
Teacher spread0.199 · 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
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
Published2000
Admission routes1
Has abstractyes

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