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Record W4413391754 · doi:10.1115/omae2025-156173

Small-Scale Tests on the Dynamic Compression of Lazy-Wave Risers: Experimental Design Methodology

2025· article· en· W4413391754 on OpenAlexaff
Vitor Schwenck Franco Maciel, Guilherme Rosa Franzini, Celso P. Pesce, Letícia Siqueira Madi, Victor Matias de Biaggi Tucci, Rodrigo Provasi, Clóvis de Arruda Martins, Pedro Cardozo de Mello, Cristiano Emilio Justiniano, Guttorm Grytøyr, Rodrigo do Nascimento Carvalhal

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsComputer scienceDynamic range compressionScale (ratio)Dynamic testingCompression (physics)Programming languageMaterials science

Abstract

fetched live from OpenAlex

Abstract The study of the dynamic compression phenomenon in risers subjected to harmonic motions from FPSOs is important to ensure structural safety during operation. On this topic, theoretical predictions for the critical loads have been developed for risers in free hanging catenary configurations and have been experimentally and numerically validated. For risers in lazy-wave configurations, however, the validity of these theoretical predictions is not yet fully understood. In the present work, a methodology to design small-scale experiments focusing on the dynamic compression of lazy-wave risers subjected to a harmonic and vertical excitation at the top is presented. The test facility and the designed experimental arrangement are described, and the main aspects regarding its construction methodology are discussed. Stability analyses for both in-plane and out-of-plane buckling are compared with dynamic simulations, and it is shown that both types of instability may occur under the same excitation conditions for the designed small-scale model. Finally, by comparing the critical top-motion conditions (i.e. under which the occurrence of buckling is theoretically predicted) with the capabilities of an in-house actuator, the feasible range of frequencies to be used in the experiments is determined.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.494
Threshold uncertainty score0.341

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 head0.088
GPT teacher head0.282
Teacher spread0.194 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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