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Record W2571026458 · doi:10.1139/cgj-2016-0230

Strength verification of stabilized soil–cement columns: a laboratory investigation of the push-in resistance test (PIRT)

2017· article· en· W2571026458 on OpenAlexvenueno aff
Martin J. Timoney, Bryan A. McCabe

Bibliographic record

VenueCanadian Geotechnical Journal · 2017
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsnot available
FundersIrish Research CouncilUniversity of GalwayIrish Research Council for Science, Engineering and Technology
KeywordsPenetrometerGeotechnical engineeringColumn (typography)Consistency (knowledge bases)LimitingCone penetration testGeologyMathematicsEngineeringStructural engineeringSoil waterSoil scienceGeometryMechanical engineering

Abstract

fetched live from OpenAlex

The push-in resistance test (PIRT) is an in situ means of verifying the strength of stabilized soil columns. During the test, a winged penetrometer penetrates the stabilized column at a constant rate and the column strength is estimated from the recorded probing resistance using a bearing capacity factor (N). While N values between 8 and 20 (although typically between 8 and 15) are quoted in the literature (based almost exclusively on empirical and Scandinavian experience), there have been few field tests and no laboratory investigations aimed at investigating the value of N and the factors upon which it depends, thereby limiting international confidence in the method. This paper presents the findings of a unique laboratory-scale PIRT series conducted at the National University of Ireland, Galway (NUI Galway). The development of appropriate column construction and testing methods is discussed. The results of 11 PIRT tests on pre-drilled stabilized columns with unconfined compression strengths (UCS) from 150 to over 800 kPa are reported, as well as those of a complementary cone-only series of tests to assess additional frictional forces acting on the penetrometer. Appropriate corrections to the data for temperature and time consistency between the probing forces and UCS values are discussed. Test results indicate that the strength of the column has a mild influence on the N value. Further investigation of this finding is recommended at both laboratory and field scales.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
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 head0.008
GPT teacher head0.192
Teacher spread0.184 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations14
Published2017
Admission routes1
Has abstractyes

Explore more

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