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Оценка прочности трубопровода при наличии дефекта

выпускная квалификационная работа магистра

Оценка прочности трубопровода при наличии дефекта

Abstract

Целью данной работы является построение конечно-элементной модели и доказательство её сходимости с реальностью. Модель с достаточной точностью должна предсказывать начало роста трещины заданной геометрии, а также траекторию её роста на основании выбранного критерия разрушения. В качестве практического применения модели рассмотрена задача напряженного деформированного состояния трубопровода при наличии дефекта на сварном шве.

The purpose of this work is to build a finite element model and prove its convergence with reality. The model with sufficient accuracy should predict the beginning of the growth of a crack of a given geometry, as well as the trajectory of its growth based on the chosen failure criterion. As a practical application of the model, the problem of the stressed deformed state of the pipeline in the presence of a defect in the weld is considered.

Keywords

Трубопроводы магистральные, Материалы, smart method, strength assessment, метод SMART, Сварные соединения и швы, ÐšÐ¾Ð½ÐµÑ‡Ð½Ñ‹Ñ ÑÐ»ÐµÐ¼ÐµÐ½Ñ‚Ð¾Ð² метод, оценка прочности

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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