000004999 001__ 4999
000004999 005__ 20141120140002.0
000004999 04107 $$aeng
000004999 046__ $$k2008-06-25
000004999 100__ $$aFuruta, H.
000004999 24500 $$aRELIABILITY ANALYSIS OF LIFELINE NETWORK USING MARKOV-CHAIN MONTE CARLO SIMULATION

000004999 24630 $$n4.$$pProceedings of the 4th International ASRANet Colloquium
000004999 260__ $$bASRANet Ltd., 2008
000004999 506__ $$arestricted
000004999 520__ $$2eng$$aThe main purpose of this research is to develop a new practical reliability analysis method that can calculate the reliability of structures in a more accurate way, using Markov-chain Monte Carlo technique (MCMC). MCMC has been developed to generate samples from multivariate distribution and can apply to any type of distribution function regardless of continuous or discrete variable. Furthermore, by introducing subset method it is possible to improve the accuracy of the reliability analysis. Several numerical examples are presented to demonstrate the applicability and effectiveness of the proposed method.

000004999 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000004999 653__ $$a

000004999 7112_ $$a4th International ASRANet Colloquium$$cAthens (GR)$$d2008-06-25 / 2008-06-27$$gASRANet4
000004999 720__ $$aFuruta, H.$$iMiyake, K.$$iTsukiyama, I.$$iSato, T.
000004999 8560_ $$ffischerc@itam.cas.cz
000004999 8564_ $$s369824$$uhttps://invenio.itam.cas.cz/record/4999/files/037_Miyake,_Kenta.pdf$$yOriginal version of the author's contribution as presented on CD, paper No. 37.
000004999 962__ $$r4967
000004999 980__ $$aPAPER