Pregled bibliografske jedinice broj: 627270
RELIABILITY ANALYSIS BASED ON THE STATISTICAL MOMENTS CALCULATION AND FITTING OF THE PERFORMANCE FUNCTION'S PROBABILITY DENSITY FUNCTION
RELIABILITY ANALYSIS BASED ON THE STATISTICAL MOMENTS CALCULATION AND FITTING OF THE PERFORMANCE FUNCTION'S PROBABILITY DENSITY FUNCTION // Integrating Structural Analysis, Risk & Reliability, 6th International ASRANet Conference
Glasgow, 2012. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 627270 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
RELIABILITY ANALYSIS BASED ON THE STATISTICAL MOMENTS CALCULATION AND FITTING OF THE PERFORMANCE FUNCTION'S PROBABILITY DENSITY FUNCTION
Autori
Pirić, Karlo
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Integrating Structural Analysis, Risk & Reliability, 6th International ASRANet Conference
/ - Glasgow, 2012
Skup
6th International ASRANet Conference
Mjesto i datum
Glasgow, Ujedinjeno Kraljevstvo, 02.07.2012. - 04.07.2012
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
analiza pouzdanosti; metoda smanjenja dimenzionalnosti; superpozicija normalnih distribucija
(reliability analysis; dimension reduction method; superposition of normal distributions)
Sažetak
This paper presents a reliability analysis approach which is composed of raw statistical moments calculation and fitting of performance function’s probability density function (PDF). Raw statistical moments are calculated using univariate dimension reduction method (DRM) with Gauss-Hermite integration points. After raw statistical moments are obtained, fitting of probability density function is performed by superposition of normal distributions (SND). Assuming that PDF can be decomposed on a number of different normal distributions, weight of each distribution can be obtained by solving linear system equations that is made of the raw statistical moments of each normal distribution. Nelder-Mead search algorithm is used for final refinement of the PDF. A few numerical examples are presented and obtained results are compared with the Monte Carlo simulation (MCS) and first order reliability method (FORM). The method, due to small number of system evaluations needed, can be very useful for the multicriterial design processes using reliability/risk based design attributes.
Izvorni jezik
Engleski
Znanstvena područja
Brodogradnja
POVEZANOST RADA
Projekti:
120-1201829-1671 - Višekriterijski projektni modeli u osnivanju i konstrukciji broda i zrakoplova (Žanić, Vedran, MZOS ) ( CroRIS)
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb
Profili:
Karlo Pirić
(autor)