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Record W2559369528 · doi:10.4043/27383-ms

Evaluation of Global Ice Strength for Design Iceberg Impact Loads

2016· article· en· W2559369528 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueArctic Technology Conference · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsCentre For Cold Ocean Resources Engineering
Fundersnot available
KeywordsIcebergSea iceGeologyClimatology

Abstract

fetched live from OpenAlex

Abstract In designing an oil and gas platform for offshore arctic and subarctic regions, operators may need to consider potential iceberg impacts when determining optimal structure configuration and ice strengthening requirements. Ice strengthening requirements will depend on the frequency of impacts, the sizes and shapes of icebergs impacting, the impact velocities as determined by the response of icebergs to currents and waves and the strength of the ice. Global ice strength will influence overall design, and local ice strength will influence local structural design. Failure of ice in crushing is a complex process involving mechanisms such as spalling, pressure melting and recrystallization, which are very difficult to model. As a practical approach, global force is often modeled as the product of nominal contact area times global crushing pressure, with global crushing pressure estimated based on full scale measurements. During iceberg impacts, contact area increases with penetration, with the maximum area influenced strongly by the initial kinetic energy of the iceberg, and to a lesser extent by driving forces during the impact. Ice strength, as observed during field measurements, has a significant random variance, both in time during an interaction, and from interaction to interaction. This variance is especially important when designing for iceberg impact loads in regions such the Grand Banks off Canada's east coast where load events are very infrequent, on the order of once every 10 years given ice management. While ice strength data for sea ice loads is often presented in terms of upper limit strengths based on the assumption that there are large numbers of interactions per year, a probabilistic approach that explicitly considers the frequency of events is more appropriate. In this paper, emphasis is given to global ice strength as relates to the total force on a structure, rather than local ice pressure as relates to local design for fixed structural areas on the platform. A strong scaling effect is observed in which the average global strength of ice decreases as the nominal area of contact increases. There is a lack of observed ice strength data for interactions involving failure of iceberg ice at large contact areas; a consequence of which is that there is not consensus in industry regarding the most appropriate strength model to use. While ISO 19906 presents a probabilistic model that accounts for variance in ice strength as contact area increases, with random coefficients to account for the variance between impacts, use of a minimum pressure cut-off for large areas is suggested due to the lack of ice strength data for large contact areas. ISO 19906 does not give guidance on the selection of the cut-off. A review of relevant data is presented here and different models for the minimum pressure cut-off considered, with example calculations presented.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0010.000

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 head0.037
GPT teacher head0.284
Teacher spread0.247 · 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