DOProC-based reliability analysis of structures

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27120%2F17%3A10237264" target="_blank" >RIV/61989100:27120/17:10237264 - isvavai.cz</a>

Výsledek na webu

<a href="http://ocean.kisti.re.kr/IS_mvpopo001P.do?method=multMain&cn1=JAKO201734158661766&poid=tp&free=" target="_blank" >http://ocean.kisti.re.kr/IS_mvpopo001P.do?method=multMain&cn1=JAKO201734158661766&poid=tp&free=</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.12989/sem.2017.64.4.413" target="_blank" >10.12989/sem.2017.64.4.413</a>

Jazyk výsledku

angličtina

Název v původním jazyce

DOProC-based reliability analysis of structures

Popis výsledku v původním jazyce

Probabilistic methods are used in engineering where a computational model contains random variables. The proposed method under development: Direct Optimized Probabilistic Calculation (DOProC) is highly efficient in terms of computation time and solution accuracy and is mostly faster than in case of other standard probabilistic methods. The novelty of the DOProC lies in an optimized numerical integration that easily handles both correlated and statistically independent random variables and does not require any simulation or approximation technique. DOProC is demonstrated by a collection of deliberately selected simple examples (i) to illustrate the efficiency of individual optimization levels and (ii) to verify it against other highly regarded probabilistic methods (e.g., Monte Carlo). Efficiency and other benefits of the proposed method are grounded on a comparative case study carried out using both the DOProC and MC techniques. The algorithm has been implemented in mentioned software applications, and has been used effectively several times in solving probabilistic tasks and in probabilistic reliability assessment of structures. The article summarizes the principles of this method and demonstrates its basic possibilities on simple examples. The paper presents unpublished details of probabilistic computations based on this method, including a reliability assessment, which provides the user with the probability of failure affected by statistically dependent input random variables. The study also mentions the potential of the optimization procedures under development, including an analysis of their effectiveness on the example of the reliability assessment of a slender column.

Název v anglickém jazyce

DOProC-based reliability analysis of structures

Popis výsledku anglicky

Probabilistic methods are used in engineering where a computational model contains random variables. The proposed method under development: Direct Optimized Probabilistic Calculation (DOProC) is highly efficient in terms of computation time and solution accuracy and is mostly faster than in case of other standard probabilistic methods. The novelty of the DOProC lies in an optimized numerical integration that easily handles both correlated and statistically independent random variables and does not require any simulation or approximation technique. DOProC is demonstrated by a collection of deliberately selected simple examples (i) to illustrate the efficiency of individual optimization levels and (ii) to verify it against other highly regarded probabilistic methods (e.g., Monte Carlo). Efficiency and other benefits of the proposed method are grounded on a comparative case study carried out using both the DOProC and MC techniques. The algorithm has been implemented in mentioned software applications, and has been used effectively several times in solving probabilistic tasks and in probabilistic reliability assessment of structures. The article summarizes the principles of this method and demonstrates its basic possibilities on simple examples. The paper presents unpublished details of probabilistic computations based on this method, including a reliability assessment, which provides the user with the probability of failure affected by statistically dependent input random variables. The study also mentions the potential of the optimization procedures under development, including an analysis of their effectiveness on the example of the reliability assessment of a slender column.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

20102 - Construction engineering, Municipal and structural engineering

Projekt

<a href="/cs/project/GA17-01589S" target="_blank" >GA17-01589S: Pokročilé výpočetní a pravděpodobnostní modelování ocelových konstrukcí s ohledem na únavové poškození</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Structural Engineering and Mechanics

ISSN

1225-4568

e-ISSN

—

Svazek periodika

64

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

KR - Korejská republika

Počet stran výsledku

14

Strana od-do

413-426

Kód UT WoS článku

000416219700003

EID výsledku v databázi Scopus

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