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Record W2068360269 · doi:10.4043/16845-ms

Centrifuge Model Tests on Anchor Piles for Tension Leg Platforms

2004· article· en· W2068360269 on OpenAlexaff
E.H. Doyle, E. T. R. Dean, J.S. Sharma, M. D. Bolton, Arun J. Valsangkar, Jason A. Newlin

Bibliographic record

VenueOffshore Technology Conference · 2004
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Mechanics
Canadian institutionsUniversity of New BrunswickUniversity of Saskatchewan
FundersUniversity of CambridgeConocoPhillips
KeywordsCentrifugePileGeotechnical engineeringTension (geology)Structural engineeringFoundation (evidence)Lateral movementStructural loadGeologyEngineeringMaterials scienceCompression (physics)Composite materialPhysics

Abstract

fetched live from OpenAlex

Abstract Four centrifuge model tests were conducted to study the lateral response of large-diameter piles in clay subject to large lateral displacements. The objectives were to quantify the cyclic response for lateral loading of two closely-spaced piles loaded in line, and to establish the nature and the extent of any gap that may form between the piles and the soil as a result of static or cyclic loading. This paper describes the tests and the results, and shows how the results were used as part of the foundation design considerations for the URSA tension-leg platform, Introduction One method to connect the tendons of Tension Leg Platforms (TLPs) to the foundation piles is to drive the piles with the tendon bottom receptacle attached to the piles. This method was first used on the Mars TLP (Garside et al., 1997). Because it is a free-head pile, this direct-connect method may result in lateral deflections that exceed the criteria on which RP2A (1993, 2000) is based (see Matlock, 1970). The lateral deflections for the lateral tests in soft clay at Sabine, for example, did not exceed about 20% of the pile diameter. In addition, the Mars design was conservatively designed by assuming that large lateral displacements would create a 'gap' between the pile and surface soils. The gap was calculated as 4C/?, where C was the soil strength and ? was the buoyant soil density. In order to study the potential for gap formation and to better understand the group behavior of piles under large lateral displacements, a centrifuge test program was undertaken at Cambridge University. The URSA TLP in Mississippi Canyon Block 809 (Digre et al, 1999; Gatlin, 1999) and the properties from one of the geotechnical investigation sites conducted as part of the design process served as the prototype for the centrifuge tests. The centrifuge tests simulated the lateral response of a 100-inch diameter pile embedded to 200 ft in a soil that modeled the geotechnical strength properties from one of the Ursa site investigations. For the group piles, a spacing-to-diameter ratio (i.e., s/d ratio) of 3.08 was used. Beam-column analyses on the prototype pile using the Matlock criteria and expected maximum design loads were used to develop the model pile sizes and test parameters. The final prototype pile design used at Ursa, while close to the pile and soil studied in the centrifuge test program, did not exactly match the pile and soil used in the test program. The results of the test program, however, were assumed to be close enough to be applicable to typical Gulf of Mexico TLP direct-connect pile designs such as the Ursa TLP. This paper reports selected results from four centrifuge odel tests. The tests provide data of pile-head loaddisplacements, bending moments, inferred shear loads and inferred lateral pressures (p), and displacements (y) under monotonic and cyclic loading conditions. This paper compares results with API RP2A (1993, 2000) design criteria for lateral loading. The paper also includes design recommendations for laterally loaded piles with large displacement.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.019
GPT teacher head0.223
Teacher spread0.204 · 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 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

Citations11
Published2004
Admission routes1
Has abstractyes

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