DOProC-based reliability analysis of structures

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

DOProC-based reliability analysis of structures

Original language description

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 The paper presents unpublished details of probabilistic computations based on this method, including a reliability assessment, which provides the user with the probability of failure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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20102 - Construction engineering, Municipal and structural engineering

Project

<a href="/en/project/GA17-01589S" target="_blank" >GA17-01589S: Advanced computational and probabilistic modelling of steel structures taking account fatigue damage</a><br>

Continuities

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

Publication year

2017

Confidentiality

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

Name of the periodical

Structural Engineering and Mechanics

ISSN

1225-4568

e-ISSN

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Volume of the periodical

64

Issue of the periodical within the volume

4

Country of publishing house

KR - KOREA, REPUBLIC OF

Number of pages

14

Pages from-to

413-426

UT code for WoS article

000416219700003

EID of the result in the Scopus database

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