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Record W1994723427 · doi:10.1061/9780784412084.0038

High Capacity Cast-in-Place Concrete Pile Load Tests in Oil Sand near Fort McMurray, Alberta

2012· article· en· W1994723427 on OpenAlexafffundabout
Renato Clementino, Robin Wesley. Tweedie, Christopher B. Workman, Lucas Barr

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Analysis
Canadian institutionsBP (Canada)Canadian Natural Resources
FundersCanadian Natural Resources Limited
KeywordsPileGeotechnical engineeringCreepLoad cellLoad testingStrain gaugeGeologyEngineeringInstrumentation (computer programming)Structural engineeringMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Pile load tests were conducted on cast-in-place concrete piles founded in oil sand at three industrial plant sites located north of Fort McMurray, Alberta, Canada. The tests included static (top-down) tests with applied vertical loads of up to 10 MN, single cell and multi cell Osterberg Cells (O-cell) with applied loads of up to 22 MN, and Statnamic tests with loads of up to 16 MN. In addition, a creep test was held for 16 days on a static load test pile and a 21 day creep test was performed on an O-cell test, to assess creep characteristic of piles in oil sand. All piles were instrumented with load cells, embedded vibrating wire strain gauges, and in the case of the Statnamic tests, with accelerometers. The results of the pile load test programs indicated that straight shaft piles founded in oil sand are capable of sustaining high capacities due mainly to the high shaft friction in the oil sand at small deflections. This paper describes the installation and instrumentation of the piles, presents the test results and compares these to historical design values.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.998

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)0.0000.000

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

Citations0
Published2012
Admission routes3
Has abstractyes

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