Анализ конститутивных моделей пластичности применительно к численному моделированию ледовых воздействий
Bibliographic record
Abstract
В последние годы выполнено большое количество численных экспериментов для оценки величины воздействия льда на сооружения континентального шельфа с использованием различных моделей материалов. Однако корректных обоснований для применения таких моделей сравнительно мало. В связи с этим вопрос о достоверности характера поведения моделируемого льда, испытывающего значительные деформации, остается открытым. Хотя во многих программных комплексах имеется возможность интеграции сторонних моделей, созданных для описания поведения материалов под нагрузкой, использование этого инструмента требует от пользователя дополнительных знаний и навыков. В связи с этим в данной работе проведен анализ конститутивных моделей пластичности материала, имеющихся в базовых библиотеках программных комплексов ANSYS и SIMULIA Abaqus и учитывающих различные факторы, которые оказывают значительное влияние на прочностные характеристики льда. Для данных моделей выполнен анализ параметров, влияющих на критерий начала пластического течения. Сделан вывод о возможности и целесообразности применения рассмотренных моделей для различных условий. Проведен обзор численных исследований процессов взаимодействия в системе «лед–сооружение», выполненных различными авторами, в части применяемых конститутивных моделей. : In recent years, a large number of numerical experiments have been performed to estimate the magnitude of the impact of ice on offshore structures, with a variety of used material models. However, there are relatively few correct substantiations for using such models. In this regard, the question of reliability of the behavior of the modeled ice undergoing significant deformations remains open. Although in many software systems it is possible to integrate side user-defined models designed to describe the behavior of materials under load, the use of this tool requires the user to apply additional knowledge and skills. In this regard, this paper analyzes the constitutive models of plasticity of the material available in the ANSYS and SIMULIA Abaqus software packages which properly consider various factors that have a significant effect on the strength characteristics of ice. For these models, the analysis of parameters affecting the criterion of the onset of plastic flow is carried out. Conclusions are made on the possibility and advisability of using the considered models for various conditions. A review of numerical studies of the processes of interaction in the icestructure system performed by various authors, regarding the applied constitutive models, is carried out.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.044 | 0.015 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".