Reduction of computational operations in the DOProC method

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27120%2F17%3A10237922" target="_blank" >RIV/61989100:27120/17:10237922 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Reduction of computational operations in the DOProC method

Popis výsledku v původním jazyce

The application of probabilistic methods for reliability assessment with probabilistic de-scription of random variables in practice is becoming increasingly popular. The new com-putational methods are still being developed for the calculation of the resulting probability of failure. The paper deals with a new method currently under development: Direct Opti-mized Probabilistic Calculation (DOProC), which presents a new computational tool for solving probabilistic problems. The method is based on the fundamental principles of probability theory and statistics. Statistically dependent and independent input random quantities (such as load, geometry, material properties, or imperfections) are expressed in the DOProC method by the parametric or empirical distribution prepared in the form of histograms. Calculation of the probability of failure is performed using a specially de-signed algorithm optimized with numerical integration, which is accurate and efficient for many kinds of probabilistic tasks. This procedure has been programmed in several appli-cations.

Název v anglickém jazyce

Reduction of computational operations in the DOProC method

Popis výsledku anglicky

The application of probabilistic methods for reliability assessment with probabilistic de-scription of random variables in practice is becoming increasingly popular. The new com-putational methods are still being developed for the calculation of the resulting probability of failure. The paper deals with a new method currently under development: Direct Opti-mized Probabilistic Calculation (DOProC), which presents a new computational tool for solving probabilistic problems. The method is based on the fundamental principles of probability theory and statistics. Statistically dependent and independent input random quantities (such as load, geometry, material properties, or imperfections) are expressed in the DOProC method by the parametric or empirical distribution prepared in the form of histograms. Calculation of the probability of failure is performed using a specially de-signed algorithm optimized with numerical integration, which is accurate and efficient for many kinds of probabilistic tasks. This procedure has been programmed in several appli-cations.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20102 - Construction engineering, Municipal and structural engineering

Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Advances and Trends in Engineering Sciences and Technologies II : proceedings of the 2nd International Conference on Engineering Sciences and Technologies, 29 June - 1 July 2016, High Tatras Mountains, Tatranské Matliare, Slovak Republic

ISBN

978-1-138-03224-8

ISSN

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e-ISSN

neuvedeno

Počet stran výsledku

6

Strana od-do

117-122

Název nakladatele

Taylor &amp; Francis

Místo vydání

London

Místo konání akce

Tatranské Matliare

Datum konání akce

29. 6. 2016

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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