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Record W2078104739 · doi:10.4043/18007-ms

Centrifuge Testing on Suction Anchors: Double-Wall, Over-Consolidated Clay, and Layered Soil Profile

2006· article· en· W2078104739 on OpenAlexaffabout
Philippe Jeanjean, Dobroslav Znidarčić, Ryan Phillips, H.Y. Ko, Sabina Pfister, Özer Çinicioğlu, Kurtis L. Schroeder

Bibliographic record

VenueOffshore Technology Conference · 2006
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Mechanics
Canadian institutionsCentre For Cold Ocean Resources Engineering
Fundersnot available
KeywordsCentrifugeSuctionGeotechnical engineeringGeologyMaterials scienceEngineeringMechanical engineeringPhysics

Abstract

fetched live from OpenAlex

Abstract This paper presents partial results of two series of centrifuge tests that were performed on suction anchors. The first series addressed the specific conditions of the Mad Dog Cluster 2 anchors on the Sigsbee Escarpment (Berger et al 2006, Jeanjean et al 2006, and Schroeder et al 2006). Tests were performed for soil conditions, anchor geometry, attachment points, and loading angles closely matching the Mad Dog design parameters. The results provided a means of calibrating and validating the design method and failure mechanisms. The second series of tests was performed on double-wall anchors and allowed the separation of the three components of capacity: outside friction, inside friction, and reverse end bearing. Results gave insights into the failure mechanism of vertically loaded anchors and suggest that the traditional procedures for determining outside skin friction appear to be conservative. Introduction When describing the centrifuge tests, all units in the text, tables and figures refer to model dimensions, unless otherwise noted. Purpose of the centrifuge tests This paper presents partial results from two separate series of centrifuge tests to investigate the holding capacity of suction anchors in soil profile representative of the Mad Dog Cluster 2 conditions (see Schroeder et al, 2006) and to separate the components of total vertical capacity: outside friction, inside friction, and end bearing. Centrifuge tests on stiff clays and layered soil profile As described in companion papers (Berger et al 2006, Jeanjean et al 2006, Liedtke et al 2006, and Schroeder et al 2006), the geotechnical conditions at the Mad Dog suction anchor sites for the four anchors in Cluster 2, the ones on the Sigsbee Escarpment, clearly fall outside the range of commonly encountered soil properties in the Gulf of Mexico. Centrifuge tests were therefore performed at the University of Colorado at Boulder with the purpose of obtaining load test data to verify the design methodology for soil conditions relevant to the Mad Dog Cluster 2 profiles. The failure mechanism of the anchor was also predicted. Centrifuge tests on double wall anchors in soft clays Secondly, a series of centrifuge tests were performed at C-CORE, in St Johnâ??s, Newfoundland, on a specially manufactured double-wall anchor. The anchor was loaded vertically and the intent of these tests was to separate the various components of vertical holding capacity: external friction, internal friction, and reverse end-bearing. It was suspected before the test that, contrary to what is commonly assumed when interpreting load test data, the inside friction and outside friction in the anchor might not be equal. The tests were also intended to provide measurements of the end bearing capacity factor, Nc, without having to assume an alpha factor, or speculate as to how much friction was generated inside the anchor, when pulled with the top closed.

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)0.001
metaresearch head score (Gemma)0.002
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.204
Teacher spread0.190 · 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

Citations32
Published2006
Admission routes2
Has abstractyes

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