Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Vestnik Samarskogo G...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Расчёт показателей надёжности трубопроводных систем с учётом трещиноподобных дефектов и сложных условий эксплуатации

Расчёт показателей надёжности трубопроводных систем с учётом трещиноподобных дефектов и сложных условий эксплуатации

Abstract

Существующие методы, обеспечивающие надёжность трубопроводных систем и основанные на нормативном подходе, не учитывают в явном виде не только временные факторы, но и вероятностную природу характеристик несущей способности и нагрузок, что зачастую приводит к назначению неоправданно высоких значений коэффициентов запаса прочности. В вероятностных методах отсутствуют данные недостатки, однако несмотря на то, что они достаточно широко проработаны в теории, на практике их применимость по ряду причин не превышает 1 %. В представленной работе разработаны и доведены до практического применения алгоритмы и методики расчётов, позволяющие как на стадии проектирования, так и в процессе эксплуатации производить расчёт показателей надёжности трубопроводных систем в рамках теории классической статистики.

The existing methods for pipeline systems reliability estimation, based on a normative approach, do not consider in an explicit form neither time as a factor, nor the probability nature of characteristics of load-carrying ability and loads that often leads to designation of unfairly high values for stress reserve factors. Methods based on probability approaches allow excluding these shortcomings, however, in spite of the fact that they are rather widely theoreti-cally justified, their practical applications do not exceed 1 %. In this paper the algorithms and methods for pipeline systems reliability indicators calculation for practical application which allow determining the values during design or service stage are presented. These methods are based on the theory of classical statistics.

Keywords

ТРУБОПРОВОД, ТРЕЩИНОПОДОБНЫЕ ДЕФЕКТЫ, МЕТОД ИНТЕРПОЛЯЦИОННЫХ ПОЛИНОМОВ, НЕКАНОНИЧЕСКОЕ РАЗЛОЖЕНИЕ, КОЭФФИЦИЕНТ ИНТЕНСИВНОСТИ НАПРЯЖЕНИЙ, ЗАДАЧА СТАТИСТИЧЕСКОЙ ДИНАМИКИ, ФУНКЦИЯ НАДЁЖНОСТИ

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
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
gold