Fuzzy stochastic finite element method

authored by

Bernd Möller, Wolfgang Graf, Michael Beer, Jan Uwe Sickert

Abstract

Using fuzzy random functions it is possible to mathematically describe uncertainty characterized by fuzzy randomness. Fuzzy randomness arises when random variables - e.g. as a result of changing boundary conditions - cannot be observed with exactness. Fuzzy random functions may also be interpreted as fuzzified random functions, as the random event can only be observed in an uncertain manner. For the nonlinear analysis of a RC structure with the aid of a crisp (or uncertain) algorithm and with fuzzy random functions (and random functions) as input values as well as fuzzy values as model parameters, the fuzzy stochastic finite element method (FSFEM) is introduced.

External Organisation(s)

Technische Universität Dresden

Type

Contribution to book/anthology

Pages

2074-2077

No. of pages

4

Publication date

02.06.2003

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Engineering(all)

Electronic version(s)

https://doi.org/10.1016/B978-008044046-0.50509-1 (Access: Closed)