Pregled bibliografske jedinice broj: 38872
One Approach to Limit State Design
One Approach to Limit State Design // Integrity-Reliability-Failure : Book of Abstracts / Meguid, S.A. ; Silva Gomez, J.F. (ur.).
Porto: University of Porto ; University of Toronto, 1999. str. 130-132 (predavanje, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 38872 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
One Approach to Limit State Design
Autori
Jelaska, Igor ; Jelaska, Damir
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Integrity-Reliability-Failure : Book of Abstracts
/ Meguid, S.A. ; Silva Gomez, J.F. - Porto : University of Porto ; University of Toronto, 1999, 130-132
Skup
Integrity-Reliability-Failure
Mjesto i datum
Porto, Portugal, 19.07.1999. - 22.07.1999
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
probabilistic theory; possibilistic theory; design point; limit state function
Sažetak
The design process is clouded with uncertainties arising from errors in idealisation and incomplete information. Therefore, assurance of absolute prevention of failure is a difficult task, and risk must be considered the design procedure. Thus, probabilistic approach to design has been widely accepted in engineering practice. It is based on identification of all variables influencing the expression of the limit state, deriving their probability functions, and comparing the probability that the limit state criterion is not satisfied to limit probability previously accepted. An inventive alternative to probabilistic reliability theory has appeared recently - the possibilistic theory of reliability, which uses a new confidence measure: possibility of failure defined by means of fuzzy logic, as a possibility that safety margin be negative or zero. The main advantage of possibilistic approach to design is the fact that determination of reliability indicators (failure possibility and possibility reliability index) is much easier than in the probabilistic approach. Hence, the probabilistic approach generally requires optimisation of a multivariate function, while the possibilistic approach reduces the study to the optimisation of the variable function.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
023035
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split