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Record W2011133622 · doi:10.4043/12093-ms

Online Response Test on Saturated Sand Seabed Underneath Structure Subjected to Ice and Seismic Loads

2000· article· en· W2011133622 on OpenAlexaboutno aff
Masayuki Hyodo, Teruhisa Fujii, Kenjirou Fukuda, Kazuhiko Kamezaki, Yutaka Yamauchi

Bibliographic record

VenueOffshore Technology Conference · 2000
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGeologySubmarine pipelineGeotechnical engineeringWave loadingPore water pressureSeabedDynamic testingSeismic loadingStructural engineeringEngineering

Abstract

fetched live from OpenAlex

Abstract In order to investigate the interaction between offshore structure and base ground subjected to seismic and ice loads, a substructure on-line dynamic testing system was developed. A dynamic response analysis by computer and a pseudo-dynamic loading test which obtains the restoring force of material experimentally are combined by a computer on-line data processing system. The analyses were carried out on an offshore gravity structure based on sand seabed subjected to ice load and earthquake motion by this method. Residual deformation of base ground were observed because of development of pore water pressure in the sand layer due to cyclic loads induced by drifting floe and earthquake. As a result, unique response behaviour of base ground and structure was observed in the present study. Introduction On April 12, 1986, the Molikpaq deployed in the Canadian Beaufort Sea suffered dynamic force induced by drifting floe1), 2). Although ice loading was considered as a quasi-static situation, much of the ice loading of the Molikpaq at significant load levels had been associated with cyclic, dynamic loading. Development of pore pressure was measured by piezometer installed in the sandfill core in it. This led to a research effort on the stability of base ground underneath the offshore structures in ice-sea. The similar platforms are constructed in Okhotsk near Sakhalin. In this area, not only ice load but also seimic force should be considered in practical design. For the purpose of investigating the interaction between offshore structure and base ground subjected to ice load and seismic forces, a substructure on-line dynamic testing system was developed in this study by combining the response analysis with the simple shear tests on real soil elements. In the present method, a computer analysis of dynamic response and a pseudo-dynamic loading test were combined with a computer on-line data processing system3). With this system, which was devised to analyze the overall response behaviour, the simple shear tests were adopted only for a few layers beneath the structure demonstrating complicated properties of restoring forces, while numerical models ware applied to the remaining layers of ground and super-structure. The analyses were carried out on an offshore gravity structure in ice sea based on sand seabed by this method. The ice load which was calculated by KARNA-NKK model4) was applied in order to simulate the given penetration speed of drifting floe against structure. At the same time, earthquake motion was input from the bottom of base ground. Degradation and residual shear deformation of base ground were observed because of developing pore water pressure in the sand layer due to cyclic loads induced by drifting floe and earthquake. Stress Condition in Soil Element beneath Offshore Structure The stress condition and behaviour of soil elements beneath the offshore structure which are expected during earthquake are shown in Fig. 1 and Table 1. The overburden stress Ðv' and earth pressure at rest Ðh' exist on the planes perpendicular to them before earthquake. When the earthquake happens, cyclic shear stresses exert on the both planes.

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)0.000
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 score0.011

Distilled classifier scores by category (both heads)

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)0.0030.000

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 head0.009
GPT teacher head0.216
Teacher spread0.207 · 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".

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Citations0
Published2000
Admission routes1
Has abstractyes

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