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Record W2136049755 · doi:10.1139/t2012-027

Discussion of “Critical assessment of pile modulus determination methods” <sup>1</sup>Appears in the Canadian Geotechnical Journal, <b>48</b>(10): 1433–1448 [doi: 10.1139/t11-050].

2012· article· en· W2136049755 on OpenAlexvenueaboutno aff
Bengt H. Fellenius

Bibliographic record

VenueCanadian Geotechnical Journal · 2012
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsnot available
Fundersnot available
KeywordsGeotechnical engineeringGeologyPileModulusMathematicsGeometry

Abstract

fetched live from OpenAlex

Lam and Jefferis (2011) have produced a timely, well written, and worthy paper. I would like to add a few comments to the authors’ presentation of the strain measurements. Moreover, the authors’ recommendations regarding the E-modulus to be used for determining the load distribution in a pile subjected to a static loading test from the strain measurements need both to be emphasized and moderated, which is what the following brief compilation of case records aims to do. The authors’ paper presents the changes of strain of up to 100+ μ3 in the pile occurring as a result of the concreting and during the set-up time between pile construction and the static loading test. I think it is worthwhile to emphasize that the changes are caused by three different processes: temperature change (heating and cooling), swelling of the concrete, and reconsolidation by the soil (Fellenius et al. 2004). First, changes of strain are imposed during the hydration process as a consequence of the differences in thermal response between the concrete and the steel (in the sister bar gages). The hydration process causes an increase of temperature, which takes place over several hours, about 24 h rather than the 3 h the authors report. At first, the concrete is fluid, and there is very little strain or stress transferred between the concrete and the sister bars. Second, when the concrete starts to harden, bonding develops between the rebars and the concrete, and a further temperature increase will result in an apparent elongation — tension — of the rebars. During the subsequent cooling, which can take weeks or months, the concrete (usually) reduces more than the rebars, manifested by a shortening of the rebars — apparent compression — co-occurring with tension in the concrete. During the following period, the concrete absorbs water from the soil, which results in a volume increase — swelling — recorded as a rebar elongation — apparent tension — and, conversely, compression in the concrete. Third, at depth, when the soil recovers from the disturbance imposed by the construction, it usually tends to settle, which causes negative direction shear forces to develop, resulting in an increase of load in the pile — noticeable as residual load, which the authors showed to have taken place for the subject pile. Consequently, when the static loading test commences, a state of stress and strain exists in the pile that to some extent will affect the response to the applied load increments, as registered by the strain gages. The evaluation of the strain-gage records, in particular when the secant stiffness method is applied, needs to consider this, as suggested for a few of the following case histories.

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)0.053
metaresearch head score (Gemma)0.136
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.053
Threshold uncertainty score0.280

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0530.136
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.004
Science and technology studies0.0040.007
Scholarly communication0.0060.006
Open science0.0070.003
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0120.007

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 head0.015
GPT teacher head0.287
Teacher spread0.272 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations8
Published2012
Admission routes2
Has abstractyes

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